Comparison of shortwave radiation dynamics between boreal forest and open peatland pairs in southern and northern Finland

Abstract

Snow cover plays a key role in determining the albedo and thus the shortwave radiation balance of a surface. The effect of snow on albedo is modulated by land use: tree canopies break the uniform snow layer and lower the albedo as compared to an open ground. This results in a higher fraction of shortwave radiation being absorbed in forests. At seasonally snow-covered high latitudes, this lowering of the albedo has been suggested to offset some or all of the climate cooling effect of the carbon stored by forests. We used long-term in situ measurements to study the albedo and shortwave radiation balance of two pairs of sites, each consisting of an open peatland and a forest. One pair is located in northern and one in southern Finland in the boreal zone. We found that both forest sites had a low, constant albedo during the snow-free period. In contrast, both peatland sites had a higher snow-free albedo, with a clear seasonal cycle. The albedo was found to depend on the diffuse fraction of the incoming radiation: during the snow-covered period, higher diffuse fraction was associated with lower albedo, while during the snow-free period it was associated with higher albedo. The thinning of the southern forest site, resulting in a significant reduction of the leaf area index, increased the albedo especially in the snow-covered period. During the snow-covered period, the peatland sites again had higher albedo than the forest sites. The transition between the high and low albedo upon snow accumulation and especially snowmelt was more abrupt at the peatland sites. In the northern pair, the forest site absorbed on average 0.47 GJ m⁻² more (around 23 % more) energy from net shortwave radiation than the peatland site annually, whereas in the southern pair, the forest site absorbed on average 0.37 GJ m⁻² more (around 14 % more) than the peatland site. The difference in the annual absorbed energy between the peatland site and the forest site was greater in the northern pair due to longer snow-cover duration. This was partially offset by the greater difference in snow-free albedos and higher solar radiation at the southern site pair. The annual difference in the absorbed shortwave radiation between the forest site and the peatland site varied considerably between the years (from 0.37 to 0.61 GJ m⁻² for the northern pair and from 0.20 to 0.53 GJ m⁻² for the southern pair). The annual variation was mainly controlled by the snow-cover duration in the spring at the peatland sites. These findings have implications for the future climate, as snow cover continues to evolve under global warming.

1 Introduction

Surface albedo (hereafter albedo) is the fraction of incident global broadband shortwave (SW) radiation that a surface reflects . The albedo, together with the amount of incident shortwave radiation, determines the shortwave energy input to the surface, typically the main mechanism by which the surface gains energy . Changes in albedo play a key role in major earth system processes and feedbacks . Snow typically has a very high reflectance in near-UV and visible range, and as a result snow cover is especially important for determining the albedo . In the boreal zone, the presence of trees has a major impact on the wintertime albedo, as the tree canopy breaks up the uniform snow surface, substantially lowering the albedo . As a result, in the boreal zone, the difference between wintertime and summertime albedo is much smaller in forests than in open areas .

In addition to the properties of the surface, the albedo also depends on the properties of the incoming shortwave radiation. For example, the fraction of diffuse radiation and the solar zenith angle affect the albedo . The albedo under fully diffuse radiation is known as the white-sky albedo, while that under only direct beam radiation is the black-sky albedo . The albedo under ambient lighting conditions, the blue-sky albedo, can be approximated as a combination of these .

Afforestation is often considered an effective climate change mitigation option due to the potential of forests to store carbon . However, many global studies have argued that in the boreal zone, the climate benefit of the sequestered carbon is either partially or fully negated by decreases in albedo and thus increased absorption of solar radiation . Similar results have been found in Finland, where extensive peatland areas have been drained for forestry use . In the case of drained peatlands, the decomposition of peat and the associated greenhouse gas emissions play a key role in determining the total climate effect of the land use change . In contrast to greenhouse gases, which have a global effect, changes in albedo have a strong local impact on the climate . Additionally, the effect of changing albedo on local temperatures is most prominently seen in the springtime, when the solar radiation levels are rapidly increasing but snow cover is still present .

Snow affects the climate in many ways . Climate change is already affecting the cryosphere, including snow cover, and the impacts are projected to increase with future warming . The extent and duration of snow cover are changing, but these changes are not spatially uniform . Snow cover is affected by various factors, such as total precipitation, phase of precipitation (snow/rain), and occurrence of melting events during winter, which are impacted by climate change differently . As a result, the changes in snow cover in colder and warmer regions, e.g. in different parts of northern Europe, sometimes respond differently to warming . The timing of snowmelt is affected by the total snowfall and surface energy balance components, such as sensible heat flux to the snowpack and atmospheric longwave radiation .

Satellite observations are often used to study both temporal and spatial variation in albedo e.g. . However, satellite products are limited in spatial resolution, with one pixel often consisting of multiple land cover types . Disentangling the information into separate land cover types is possible but typically requires prior information on land cover types . In addition, satellite estimates of albedo are typically of lower quality in the wintertime due to e.g. cloud cover and low solar elevation angles . The latter, through low solar radiation, also decreases the quality of in situ measurements. However, in situ measurements of albedo are available even under cloud cover.

To study the effect of snow and land use on albedo and shortwave radiation balance in detail, we analysed long-term observational in situ data from two site pairs in Finland, each consisting of a forest and an open peatland, located closely together. One pair is located in southern Finland, and the other is located in the northern part of the country, north of the Arctic Circle (Fig. ). Each site had continuous measurements of both upwelling and downwelling shortwave (SW) and photosynthetically active radiation (PAR). The proximity of the sites within each pair to each other allowed us to isolate the effect of land cover on the albedo and shortwave radiation balance from other effects, such as changes in snowfall and cloudiness due to atmospheric circulation.

Specifically, we aimed to answer the following research questions.

• How does albedo differ between adjacent forest and peatland sites and between southern and northern boreal sites?

• What determines the temporal variation of albedo on seasonal timescales?

• How do these differences in albedo affect the magnitude and variability of annual energy inputs from shortwave radiation?

2 Methods

2.1 Measurement sites

We used data from two pairs of measurement sites in the boreal zone, with each pair consisting of a forested site and an open peatland site located closely together. The pairs were the Hyytiälä forest and Siikaneva-1 open peatland sites in southern Finland, located 5.6 km from each other, and the Halssikangas forest and Halssiaapa open peatland sites at the Sodankylä Arctic Space Centre, located 0.8 km apart, north of the Arctic Circle (Fig. ). Both forest sites are covered by evergreen conifer forest dominated by Pinus sylvestris (L.), while both peatland sites are mainly covered by Sphagnum mosses, sedges, and shrubs (Table ). The southern Hyytiälä forest has a substantially higher leaf area index (LAI) than the northern Halssikangas (2.1 m² m⁻² before and 1.6 m² m⁻² after thinning in Hyytiälä compared to 1.37 m² m⁻² in Halssikangas, Table ). The Hyytiälä forest was thinned in 2020, removing some 40 % of foliar mass , with a similar reduction in LAI, on which forest albedo has been found to depend .

Figure 1

Map of (a) the location of the sites in Finland, (b) the northern Halssiaapa–Halssikangas site pair, and (c) the southern Siikaneva–Hyytiälä site pair. Peatland sites are shown as red circles; forest sites are shown as green triangles. Note the differing scales. Data from the National Land Survey of Finland aerial photographs, accessed January 2024.

[Figure omitted. See PDF]

Table 1

Description of the measurement sites. More details on the instrumentation and measurement heights in Table .

	Siikaneva	Hyytiälä	Halssiaapa	Halssikangas
Latitude (WGS84)	61.832707° N	61.847411° N	67.367070° N	67.361866° N
Longitude (WGS84)	24.192758° E	24.294731° E	26.651170° E	26.637728° E
Height (m a.s.l.)	162	181	180	179
Ecosystem type	Oligotrophic fen	Forest	Mesotrophic fen	Forest
Dominant tree species		Pinus sylvestris		Pinus sylvestris
Tree height (m)		19.0a, 20.9b		14.8 (2022)
Tree density (ha−1)		934a, 439b		2100 (2022)
Basal area (m2 ha−1)		31a, 18b	22 (2011)
Leaf area index (LAI)		2.1 (2019), 1.6 (2022)c,d,e		1.37 (2022)d
(m2 m−2), projected
Soil type	Peat	Podzol	Peat	Podzol
Reference	;	;
	;	;

^a Before thinning, . ^b After thinning, . ^c Hyytiälä LAI is evolving rapidly; see . The stand was thinned in 2020, reducing LAI, with partial recovery during subsequent years. ^d Calculated from hemispherical images; includes the overstorey. Small trees, such as spruces that were removed in Hyytiälä during the thinning, are underrepresented in the values, and the forest floor vegetation is absent. ^e .

2.2 Instrumentation

On each of the sites, upwelling and downwelling shortwave radiation was measured with either four-component net radiometers or separate pyranometers for upwelling and downwelling radiation. The measurements were conducted from meteorological masts, with the instruments located higher at the masts for the forest sites and lower for the open peatland sites (Appendix Table ). In addition, both upwelling PAR and downwelling PAR were measured at each of the sites, and diffuse downwelling radiation was measured at the forest sites. For the diffuse radiation, only diffuse PAR was available for Hyytiälä, and only diffuse shortwave radiation was available for Halssikangas. These measurements were supplemented by automatic measurements of snow depth at each of the sites (Table ).

2.3 Data processing

For each of the site pairs, we chose the investigated time period to maximize the number of full years with as continuous data cover from both sites as possible. For the southern Hyytiälä forest site, radiation measurements were available from multiple heights: the heights were chosen to maximize data coverage (Table ). The resulting time periods were from year 2016 to 2023 for the southern site pair and from 2013 to 2023 for the northern site pair. In addition to the radiation data, we also used snow depth data from each of the sites. The data were downloaded as either 30 min averages or 10 min averages which were averaged to a 30 min time step. If one or two values within the 30 min time step were missing, the average was calculated from the remaining values.

Using the 30 min values, we calculated daily means of the parameters. For the calculation of daily values, if any 30 min values were missing, that day was counted as missing as well. There were three exceptions.

• For the years 2013 and 2014 in the northern Halssiaapa peatland, any negative values had been coded as missing in the downloaded data. These mainly occurred during nights, when the actual radiation is near zero. For these years, all nighttime values (solar zenith angle over 90$\mathit{°}$) were changed to zero prior to the calculation of daily averages.

• The Halssiaapa radiation data often had a single 30 min value missing from an otherwise complete day. These gaps were linearly interpolated.

• The gaps during morning and evening hours were often longer. When the solar zenith angle was larger than 87$\mathit{°}$, the interpolation was changed to fill a gap of a maximum of two 30 min values.

For the calculation of daily values, any non-missing data points during the night (solar zenith angle over 90$\mathit{°}$) were changed to zero to reduce random variation. The daily albedo values were calculated as the ratio of the daily mean reflected radiation to daily mean global radiation and not as an average of 30 min albedos.

During the winter, the sensors for incoming radiation may get covered with snow. This problem is less pronounced for the down-facing sensors for reflected radiation. This cover will lead to lower-than-expected measurements of the incoming radiation. As a result, the albedo will be overestimated. Some differences in the incoming radiation between the sites are expected, due to, for example, local clouds. However, any consistent differences may be indicative of problems with the sensor. We used the ratio of the daily average global radiation values within a site pair to diagnose these snow-covered cases, excluding any days where the incoming radiation at a site was over 20 % lower than at its pair. Some cases with a snow-covered sensor may still remain, leading to artificially high albedo values. In addition, any days where the average reflected radiation was higher than the average incoming radiation were excluded from analysis.

The primary focus in the snow depth analysis was on the data from the peatland sites. The snow depth data were missing for some days (Fig. ). To obtain a continuous time series for the peatland sites, the snow depth data were interpolated linearly for the missing parts. The resulting snow depth time series still contained gaps for the forest sites, most of which were in the snow-free period for Hyytiälä.

2.4 Hyytiälä global radiation correction

There were systematic, time-dependent differences between the daily mean global radiation values measured in Hyytiälä and in Siikaneva. In the first 2 years of measurements, Hyytiälä values were consistently lower, and in the last 2 years, Hyytiälä values were consistently higher than those in Siikaneva. These differences indicate a drift in the calibration of the Hyytiälä global radiation sensor. We corrected Hyytiälä's global radiation by applying a year-by-year correction factor. These factors were derived as the slopes of the total least squares fits to the values of radiation in Hyytiälä and Siikaneva for each year separately. The global radiation values in Hyytiälä were then multiplied by these correction factors.

2.5 Net shortwave radiation

To assess the effect of the different albedo values on the energy budgets, we calculated the net shortwave radiation (i.e. the difference between the global and reflected solar radiation) for each site. We then took the difference of these net values between the sites: the net shortwave radiation of the peatland site was subtracted from that of the forest site. With this convention, positive differences mean that the forest site absorbs more energy from solar radiation. The net shortwave radiation is proportional to the incoming radiation, multiplied by the absorbed fraction (1 minus albedo):

1$$R_{\mathrm{n}}^{\text{SW}}=R_{\mathrm{d}}^{\text{SW}}(\mathrm{1}-\mathit{\alpha }),$$ where $R_{\mathrm{n}}^{\text{SW}}$ is the net shortwave radiation, $R_{\mathrm{d}}^{\text{SW}}$ is the incoming radiation, and $\mathit{\alpha }$ is the albedo . As a result, the difference in the net shortwave radiation across two sites, 1 and 2, is 2$$\begin{array}{rl}{R}_{\mathrm{n},\mathrm{1}}^{\text{SW}}-R_{\mathrm{n},\mathrm{2}}^{\text{SW}}& =R_{\mathrm{d},\mathrm{1}}^{\text{SW}}(\mathrm{1}-{\mathit{\alpha }}_{\mathrm{1}})-R_{\mathrm{d},\mathrm{2}}^{\text{SW}}(\mathrm{1}-{\mathit{\alpha }}_{\mathrm{2}})\\ & =R_{\mathrm{d},\mathrm{1},\mathrm{2}}^{\text{SW}}({\mathit{\alpha }}_{\mathrm{2}}-{\mathit{\alpha }}_{\mathrm{1}}).\end{array}$$ The last step applies if the incoming radiation is the same across the sites. As a result, the difference in net shortwave radiation depends on the incoming radiation and the difference in the albedo.

To test how the snow-cover duration affects the net shortwave radiation on an annual scale, we calculated annual averages of the difference in net shortwave radiation. The radiation data included some gaps, so the difference in the net shortwave radiation between the sites was not continuous (Fig. ). This might bias the annual energy balances if there are data missing over different periods between years. We therefore gap-filled the difference values of the net shortwave radiation using a data model constructed in Sect.  (Fig. ). This resulted in 86 % of the data being measured for Hyytiälä–Siikaneva and 78 % for Halssikangas–Halssiaapa, with the rest being gap-filled. These gap-filled data were then averaged to annual averages. In addition, we defined a day as snow-covered if the snow depth in the peatland site was greater than 1 cm. Based on this classification, we calculated the number of days with snow cover in the spring. This number almost always corresponded directly to the snowmelt day of the year.

2.6 Linear models

We used linear regression models to interpret the data. These were used for assessing the effect of the thinning of the Hyytiälä forest on albedo, for gap-filling the difference in net shortwave radiation, and for assessing the effect of different factors on the annual differences in the net shortwave radiation between the forest sites and the open peatland sites. In the models, we used interaction terms to allow for different classes of observations (e.g. snow-covered vs. non-snow-covered) to have different slopes.

3 Results and discussion

3.1 General features of radiation at the sites

The global radiation measured at each of the sites at the southern site pair was broadly similar (Fig. a). The same holds for the northern pair (Fig. b). Differences in the 30 min values are most probably caused mainly by local clouds: one site may be shaded, while the other one receives direct solar radiation. This effect is more pronounced in the southern Hyytiälä–Siikaneva pair, possibly due to their greater geographical separation (5.6 km vs. 0.8 km). The regression line very close to a $\mathrm{1}:\mathrm{1}$ line shows that these effects tend to cancel each other out: neither site is on average substantially sunnier than the other. This is supported by taking daily averages of the global radiation: these fall still closer to the $\mathrm{1}:\mathrm{1}$ line (Fig. ). All in all, the incoming shortwave radiation within the site pairs was very similar, and a direct comparison between the pairs is reasonable.

The similarity of the global radiation between the southern Hyytiälä forest and Siikaneva peatland is evident also in time series (Fig. a and b). The reflected radiation, on the other hand, showed different patterns for the two sites. For Hyytiälä, it typically had a smooth annual cycle, with a minor peak in spring and a summer maximum. For the southern Siikaneva peatland, the annual cycle had a distinct two-peak shape. A first, higher maximum was observed in the springtime, and a second, lower maximum, occurred slightly later than the summertime maximum in global radiation. This indicates the peak values of albedo occur in spring, when the ground is covered by snow (Fig. c). The strength of the springtime peak varied substantially between years. As an example, in 2018, with a consistent and long-lasting snow cover, the peak was high and continued for longer. In contrast, in early 2020, the snow cover was thinner and more sporadic, and the springtime peak in reflected radiation was correspondingly lower. Even during the snow-free period in the summer, the reflected radiation at Siikaneva was higher than in Hyytiälä, indicating a higher snow-free albedo. Similar features were seen in the northern Halssiaapa–Halssikangas site pair (Fig. c and d). Here, even the forest site consistently saw its highest reflected radiation values towards the end of the spring. During this time, the ground was still snow-covered, and the global radiation was increasing rapidly. Again, this effect of the reflective snow cover was seen much more prominently in the reflected radiation at the peatland site than at the forest site. In contrast to the southern peatland site, the well-defined spring peak at the northern peatland site was present during each of the measured years, due to more persistent snow cover at the northern sites.

Figure 2

Time series of the global and reflected shortwave radiation in (a) Hyytiälä (southern forest), (b) Siikaneva (southern peatland), (d) Halssikangas (northern forest), and (e) Halssiaapa (northern peatland) and snow depth in (c) Siikaneva and (f) Halssiaapa. The sign convention is chosen so that reflected radiation is negative. Within each site pair the $x$ axis is shared, and all the sites have the same $y$ axis for the radiation values. The radiation values are daily averages, while the snow depth data are daily averages with interpolation of missing values. The snow depth data for Halssiaapa were only available until September 2023.

[Figure omitted. See PDF]

3.2 Effect of snow cover on reflected radiation and albedo

The reflected solar radiation in the southern Hyytiälä forest increased as a function of both global radiation and snow depth in the forest site (Fig. a). Especially high reflected radiation was seen at high diffuse fractions of radiation and/or high solar zenith angles (Fig. ). When there was no snow on the ground, the reflected radiation was most often very close to 10 % of the global radiation, indicating an albedo of 0.1 (Fig. a). With snow cover, the reflected radiation increased substantially but also became more variable, with a less linear dependence on the global radiation. At the Siikaneva peatland, the reflected fraction in the snow-free period was higher than in Hyytiälä, close to 16 %. In contrast to the moderate increase at the forest site, the reflected solar radiation at Siikaneva was dramatically increased by snow cover, even at high global radiation levels (Fig. b). For snow depths over approximately 20 cm, the reflected radiation was typically over 70 % of the global radiation, and albedo was thus over 0.7. Very similar features were seen for the northern Halssiaapa–Halssikangas site pair (Fig. c and d). The forest albedo was typically around 0.11 for the snow-free period, with a substantial but variable increase in the snow-covered period (Fig. c). Again, during the snow-free period, the peatland site had a higher and more variable albedo than the forest site, now around 0.13 (Fig. d). The peatland albedo increased dramatically with snow cover, up to values around 0.8, and there was a clear bimodal distribution of the reflected radiation. In the forest site, the snow cover increased the reflected radiation, but in a more continuous way. These albedo values for both the southern and northern forest and peatland sites agree well with prior results, both snow-free and snow-covered. For example, during snow-free and snow-covered periods, respectively, report the values of 0.15–0.16 and 0.68–0.77 for shrubs and mosaic herbaceous areas, 0.13 and 0.57–0.59 for wetlands, and 0.10–0.12 and 0.16–0.42 for pine forests.

Figure 3

The reflected global radiation as a function of the global radiation for (a) Hyytiälä, (b) Siikaneva, (c) Halssikangas, and (d) Halssiaapa, daily values. The points are coloured by the snow depth measured at each site: note differing $y$-axis scales for forest and open peatland sites. Two example lines are drawn in each figure, corresponding to illustrative albedo values that are different for each site. The peatland sites both have a well-defined upper edge of the plot, corresponding to albedos around 0.8, while the forested sites have much less clear edges, and the values are chosen as illustrative examples.

[Figure omitted. See PDF]

3.3 Seasonal dynamics of albedo and influencing factors

Due to snow cover, all of the sites saw their highest albedo in the winter (Fig. ). For the forest sites Hyytiälä and Halssikangas, the transition between the high, snow-covered albedo and the low, snow-free albedo was relatively gradual. In contrast, the peatland sites had an abrupt springtime transition from high to low albedo, on a timescale of about a week. The snowmelt in the northern sites happened much later in the year, leading to high albedo being observed longer towards the summer. The transition in the autumn was still steep but less so than in the spring. Both northern sites had a higher maximum albedo as compared to the corresponding southern sites. This difference is especially pronounced for the forest sites. Part of this difference may be due to the higher solar zenith angles at the northern sites. On all of the sites, there was more absolute variation in the wintertime albedo as compared to the summertime albedo (Fig. ). This is partly due to actual changes in the albedo but also partly due to the low levels of radiation and therefore higher uncertainties in the albedo determination. In addition, the less persistent snow cover at the southern sites was visible especially at Siikaneva, where the 5th percentile albedo in the wintertime was often very low as compared to typical values. For the vast majority of time, within a site pair, the albedo at the peatland site was higher than that at the forest site (Fig. c and f). Each of the sites also showed a decreasing trend in albedo when moving from winter to spring, with the trend being stronger at the northern sites (Fig. ). As a result, the difference in albedo between the peatland site and the forest site within each pair was remarkably constant during the snow-covered period (Fig. c and f).

Figure 4

Typical annual cycles of the albedo in (a) Hyytiälä, (b) Siikaneva, (d) Halssikangas, and (e) Halssiaapa. Difference between the peatland site and the forest site in panels (c) and (f). The statistics are calculated for all of the daily values belonging to each week number, over all of the years. The Hyytiälä–Siikaneva data set includes 8 years; the Halssikangas–Halssiaapa data set includes 12 years.

[Figure omitted. See PDF]

Albedo depends not only on snow cover, but also on e.g. snow grain size, melting state, and impurities , for which we had no direct observations. Typically, these effects act so that the albedo of fresh snow is highest and decreases with age . The dependence of albedo on snow depth showed a hysteresis behaviour with respect to the day of year (DOY): early in the winter increasing snow depth rapidly increases the albedo to values close to 1, while in the springtime, decreasing snow depth was associated with a lowering of albedo (Fig. ). This may be due to the effect of snow age: during the winter, snowfall events lead to the increasing snow depth seen in Fig. . Accumulation of fresh snow keeps the albedo high. In the spring, even if the ground is snow-covered, the melting of snow lowers the albedo. Similar features are seen in Fig. . The highest albedos seen at the northern Halssiaapa site, in the deep winter, were higher than those at the southern Siikaneva (Figs.  and ). The springtime albedos are comparable to each other.

Each of the sites had a clear minimum in the albedo in the snow-free period (Fig. ). For both of the forest sites, there was little inter- or intra-annual variation in this snow-free albedo, with an average albedo around 0.11 throughout the summer for both sites (Fig. a and d). The Hyytiälä forest site had slightly lower albedo during the summer, as compared to Halssikangas. Similar temporal behaviour of the forest albedo has been observed by, for example, , , and . The small difference in the summertime albedo between the Hyytiälä and Halssikangas sites is consistent with their differing LAI values .

In contrast, the peatland sites showed a distinct seasonal cycle in the snow-free albedo, with a minimum of around 0.12 for Siikaneva and 0.08 for Halssiaapa, just after snowmelt (Fig. b and e). This value increased to around 0.19 for Siikaneva and 0.16 for Halssiaapa by late August, with a subsequent gradual decrease until snowfall. Very similar annual cycles have been observed for boreal peatland sites by and . reported seasonal development of the peatland vegetation phenology at Halssiaapa. This has a similar temporal pattern to the development of the snow-free peatland albedo in Fig.  and possibly explains the variation in the peatland summer albedo. observed a similar seasonal cycle for snow-free albedo but for boreal forest sites. However, their study was based on satellite data, and it is possible that there was contribution from open peatlands or deciduous trees as well. Similarly, found deciduous forest albedo to increase with greening of the forest over the growing season. found snow-free seasonal cycles for albedo at both boreal forests and peatland sites that corresponded to those found here, while the modelled albedo in their study, being a prescribed parameter, was constant. observed a similar annual cycle for the albedo of two boreal grasslands, but with a constant albedo over the summer.

Part of the variation in the albedo was caused by differences in the fraction of incoming diffuse radiation (Figs.  and ). In the summertime, increasing fraction of diffuse radiation decreased the albedo at all the sites except for Hyytiälä (Fig. ). This is consistent with observations that the white-sky albedo is typically lower than the black-sky albedo . For Siikaneva and Halssiaapa, the diffuse fraction also affected the seasonal cycle of the albedo: the albedo with a low fraction of diffuse radiation, corresponding to a clear-sky albedo, increased towards the end of summer and then stayed at the same level, while with high diffuse radiation, corresponding to a white-sky albedo, the albedo started decreasing after the summer peak (Fig. ). Similar patterns have been observed for satellite-derived albedo above forests by . In the wintertime, the effect of increasing diffuse radiation seems to be the opposite: increasing diffuse fraction increased albedo (Fig. ). Fresh snow typically has a higher albedo than old snow, and snowfall is typically associated with overcast conditions, when the diffuse fraction is high. This effect may explain some of the albedo increases in high-diffuse-fraction conditions.

Figure 5

The dependence of albedo on the diffuse fraction of incoming radiation in the snow-free period. Only points where the snow depth was zero on both stations within a pair are shown. For the southern pair, the ratio is of diffuse and total photosynthetically active radiation (PAR) in Hyytiälä, and for the northern pair, the ratio is of diffuse shortwave radiation at the Sodankylä Tähtelä observatory to global shortwave radiation at the forest site. The $y$ axis is clipped, omitting 13 points from Hyytiälä and 2 points from Siikaneva.

[Figure omitted. See PDF]

Figure 6

The dependence of albedo on the diffuse fraction of incoming radiation in the snow-covered period. Only points where the snow depth was above 10 cm at the station are shown. For the southern pair, the ratio is of diffuse and total photosynthetically active radiation (PAR) in Hyytiälä, and for the northern pair, the ratio is of diffuse shortwave radiation at the Sodankylä Tähtelä observatory to global shortwave radiation at the forest site.

[Figure omitted. See PDF]

In contrast to the shortwave albedo, which had a clear snow-free seasonal cycle at the peatland sites, the PAR albedo was much more constant over the course of the snow-free period (Fig. ). Similar results have been found for another northern peatland by . This means that the changes in the shortwave albedo are due to changing reflectance outside the PAR wavelength range, likely in the near-infrared. observed similar patterns for multiple forest sites.

Figure 7

PAR albedo at the different sites, with focus on the snow-free period ($y$ axis clipped at 0.15). The Halssikangas reflected PAR sensor appears to be mounted at a slight angle, registering also part of incoming radiation. This is evident from the increase in the measured PAR albedo both with increasing solar zenith angles towards the autumn and with increasing diffuse fraction. Both of these increase the amount of incoming radiation coming from close to the horizon. In the Hyytiälä PAR albedo there are clear interannual differences. Part of these are due to sensor replacement in late 2019; see Fig. .

[Figure omitted. See PDF]

3.4 Effect of the Hyytiälä forest thinning on albedo

The Hyytiälä forest stand was thinned in the beginning of 2020, removing approximately 40 % of the leaf mass . As the snow conditions before and after thinning were not identical, comparison of wintertime albedo without considering snow is potentially misleading. We modelled the reflected radiation, explaining it via global radiation and albedo using a linear model. Reflected radiation is directly proportional to global radiation, with the slope of the fit representing albedo (Fig. ). We included two binary interaction terms: whether the snow cover was over 10 cm and whether the forest was already thinned. This allowed us to estimate the slope separately for snow-covered and snow-free, thinned and non-thinned data points. We observed an increased albedo upon thinning in both the snow-free and snow-covered times, with a more pronounced effect in the snow-covered period (Fig. ). Higher maximum snow depths were observed after the thinning, but for similar snow-depth–global-radiation combinations, especially at high global radiation values, the albedos after the thinning were higher (Fig. ). This can probably be attributed to lesser canopy coverage, with more radiation reflected from the snow-covered ground. The change in snow-free albedo was much smaller. A slight increase was observed in the PAR albedo after the thinning, with a recovery in the subsequent years (Fig. ).

Figure 8

The reflected shortwave radiation in Hyytiälä as a function of global shortwave radiation, coloured by the snow depth. (a) Time up to the end of January 2020, before the thinning; (b) after the thinning, starting from April 2020. Open circles have no snow depth value available and are typically snow-free points. The albedo values are from a linear model in which the $p$ values of all predictors are below $\mathrm{1}\times {\mathrm{10}}^{-\mathrm{6}}$. Albedo values are presented in Fig. .

[Figure omitted. See PDF]

3.5 Effect of land use and snow cover on shortwave radiation balances

On a daily timescale, the difference in the net shortwave radiation between the forest site and the peatland site depended strongly on both the global radiation and the snow cover at the peatland site, indicative of the albedo difference (Eq. , Fig. ). The presence of snow, combined with the global radiation, explains the difference in net shortwave radiation well, without accounting for, for example, the melting state and grain size mentioned earlier (Fig. ). In contrast, the snow-free points show a much greater scatter due to the summertime variation in the peatland albedo (Fig. ). We constructed a model that included the effect of global radiation, snow cover, and DOY as a proxy for the peatland phenology development in the summertime to explain the difference in net shortwave radiation between the sites (Sect.  for details). This model explained the variation in the daily net shortwave radiation differences satisfactorily, especially at the northern Halssikangas–Halssiaapa site pair (Fig. , $R^{\mathrm{2}}$ of the model is 0.871 for the Hyytiälä–Siikaneva pair and 0.972 for the Halssikangas–Halssiaapa pair). The model was used to gap-fill the shortwave balance difference for calculation of cumulative sums and annual values (Fig. ).

Figure 9

The difference in the net shortwave radiation between (a) Hyytiälä and Siikaneva and (b) Halssikangas and Halssiaapa as a function of the mean global radiation over the sites. Daily averages; the colour of the markers indicates the snow depth at the peatland site.

[Figure omitted. See PDF]

The net shortwave radiation at forest sites typically followed a bell-shaped annual cycle (Fig. ). In contrast, the peatland sites had a clearly lower net shortwave radiation in spring, when the incoming radiation was rapidly increasing and the peatland albedo was substantially higher due to the snow cover. Typically, the forest site started absorbing more shortwave radiation than the peatland site earlier in the spring in the southern pair than in the northern pair (Fig. a), due to the earlier increase in global radiation. As the spring progressed, this north–south difference was reversed as snow in Siikaneva started melting (Fig. a). This results in the difference in the albedos between the peatland site and the forest site persisting longer into spring (Fig. c and f) in the north, at a time when the global radiation is already high and rapidly increasing (Fig. ). The snowmelt nearly always happened later at the forest site than at the corresponding peatland site (Fig. ). Generally, the snow depth also reached higher values at the forest sites (Fig. ), possibly explaining in part the delay in the snowmelt . The forest snowmelt has a lesser impact on the difference in the net shortwave radiation between the sites, as the difference between the snow-covered and snow-free albedo at the forest sites was smaller. Finally, in the summer, the difference between the forest site and the peatland site was again larger in the southern pair, mainly due to the higher albedo of Siikaneva as compared to Halssiaapa (Fig. a). Over the whole year, the difference in the absorbed radiation between the forest site and the peatland site was typically greater in the northern site pair (Fig. b). This difference mainly arises in the springtime, due to the longer snow-cover duration in the north. On the annual scale, the clear majority of the forest–peatland net shortwave radiation difference at the northern pair was caused by snow in springtime overlapping with relatively high incoming radiation level. In addition to this, there was a minor contribution from the peatland site having a higher summertime albedo than the forest site. In contrast, in the southern pair, roughly half of the average annual difference comes from the summertime. This is caused by the shorter snow-cover duration and correspondingly longer snow-free period. In addition, the difference in snow-free albedos at the southern pair is greater than at the northern pair. The average annual absorbed shortwave radiation, calculated as a sum of median daily values, is 3.15 GJ m⁻² for Hyytiälä, 2.68 GJ m⁻² for Siikaneva, 2.53 GJ m⁻² for Halssikangas, and 2.03 GJ m⁻² for Halssiaapa (Fig. ). Note that these values are not based on gap-filled data and can be skewed by uneven missing data. They are thus not directly comparable to the difference values reported next.

Figure 10

(a) The typical annual cycle in the net shortwave radiation differences between Hyytiälä and Siikaneva in dashed blue and Halssikangas and Halssiaapa in red. Positive values mean that the forest site absorbs more shortwave radiation than the peatland site. For each week, the average net shortwave difference was calculated as the median of all daily values belonging to that week over the years. Interannual variation shown in Fig. . (b) Same as panel (a) but cumulative from the start of the year and calculated for each day of year. Thin lines are individual years. The bold lines are cumulative values calculated of the median years. Note that the median annual difference presented in this way differs from the median calculated from the cumulative individual years. All data shown are gap-filled.

[Figure omitted. See PDF]

3.6 Annual variation in net shortwave radiation

The annual cumulative difference in the net shortwave radiation between the forest site and the peatland site was on average higher at the northern site pair (mean of 0.47 GJ m⁻², ranging from 0.37 to 0.61 GJ m⁻²) than at the southern site pair (mean of 0.37 GJ m⁻², ranging from 0.2 to 0.54 GJ m⁻²). The annual difference depended on the peatland snowmelt day, with later snowmelt corresponding to a larger difference (Fig. a). The dependence was even clearer when only considering the springtime net shortwave difference (Fig. b). In addition, when considering only the springtime, both sites fell closer to similar linear behaviour (Fig. b). This indicates (a) that there are interannual differences in the net shortwave differences outside the spring period and (b) that outside the spring period, Siikaneva, on average, absorbs more shortwave radiation than Halssiaapa, as compared to their respective forest sites. This is also supported by Fig. . The higher values for the Hyytiälä–Siikaneva pair are at least in part caused by the southern sites receiving more solar radiation overall. The earliest peatland snowmelt day in Fig.  in the Halssikangas–Halssiaapa pair is from the spring of 2021, when the snow melted from the peatland measurement location around 2 weeks earlier than from the forest site. This indicates a spatially inhomogeneous snow cover, which is not seen in the Halssiaapa snow depth measurements. This can explain why that spring net shortwave difference differs from the pattern observed during other years. Both sites show a clear correlation between the springtime net shortwave difference and the peatland snowmelt day, and the dependence seems rather linear in the years studied (Fig. b).

Figure 11

(a) The annual average difference in the net shortwave radiation between Hyytiälä and Siikaneva and Halssikangas and Halssiaapa as a function of the number of snow-covered days at the peatland site. (b) Same as panel (a) but with net shortwave differences only calculated over the springtime (up to DOY 130 in Hyytiälä–Siikaneva and 150 in Halssikangas–Halssiaapa). The colour of the markers indicates the average global radiation during the summer (between DOY 115 and 270 for Hyytiälä–Siikaneva and 145 and 260 for Halssikangas–Halssiaapa).

[Figure omitted. See PDF]

We constructed a linear model of the annual difference in the net shortwave radiation as a function of the peatland snow-cover duration in the spring time and the mean global radiation in the summer. The first variable explains the variation in the difference of the net shortwave radiation within the site pairs. Additionally, the southern pair receives more solar radiation in general, explaining the difference between the sites: these two factors combined explain the annual difference in net SW radiation between the peatland sites and forest sites well ($R^{\mathrm{2}}=\mathrm{0.796}$, Fig. , Table ). For the springtime difference, the snowmelt date as a sole predictor gives an $R^{\mathrm{2}}$ of 0.855 (Fig. , Table ). We also attempted to separate the effect of other variables on the annual difference in the net shortwave radiation. However, many of the potential other variables, such as global radiation and fraction of diffuse radiation, are intercorrelated. In addition, the total number of years, especially for an individual site pair, is relatively low compared to the total number of potential variables. This creates problems of multicollinearity and under-determination in a linear model. As a result, our choice of the snow-cover duration and summertime global radiation is ultimately based on physical intuition.

Table 2

The coefficients for the linear models fit to data in Fig. . $p$ values for each coefficient given in brackets. $p$ value for the whole model given for the $F$ test against constant model. n/a – not applicable.

Model	Snowmelt DOY	Summer global radiation	Intercept	$R^{\mathrm{2}}$	Model $p$
Whole year	0.00712 ($\mathrm{6.6}\times {\mathrm{10}}^{-\mathrm{7}}$)	0.00374 ($\mathrm{1.9}\times {\mathrm{10}}^{-\mathrm{3}}$)	$-\mathrm{1.07}$ ($\mathrm{5.6}\times {\mathrm{10}}^{-\mathrm{4}}$)	0.796	$\mathrm{3.0}\times {\mathrm{10}}^{-\mathrm{6}}$
Spring	0.00751 ($\mathrm{1.5}\times {\mathrm{10}}^{-\mathrm{8}}$)	n/a	$-\mathrm{0.551}$ ($\mathrm{7.2}\times {\mathrm{10}}^{-\mathrm{6}}$)	0.855	$\mathrm{1.5}\times {\mathrm{10}}^{-\mathrm{8}}$

Finally, northern Europe is unusually warm for its latitude and correspondingly receives little solar radiation as compared to other parts of the boreal biome with a similar temperature regime. This is also seen in snow-cover duration: similar snow-cover durations are typically seen in more southern locations . It is conceivable that the difference between open peatlands and forests in these more southern locations could be larger than the ones observed here due to increased solar radiation.

4 Conclusions

The albedo at each of the sites was most affected by snow cover, with clearly higher albedo observed during the winter as compared to summer. The difference between the snow-free and snow-covered values was higher for the peatland sites than for the forest sites, as expected. At both forest sites, the snow-free albedo was rather constant at around 0.1 over the snow-free period. In contrast, the peatland sites showed a clear seasonal cycle in the snow-free albedo, increasing from around 0.12 for the southern site and 0.08 for the northern site, right after snowmelt, up to 0.19 and 0.16, by late summer, respectively. This seasonal cycle was absent from PAR albedo, indicating that the seasonal cycle is mainly due to changes in reflectance in the near-infrared region. In addition, the albedo at the open peatland sites was more sensitive to changes in the diffuse fraction of incoming radiation than that at the forest sites.

When comparing the annual shortwave radiation budgets, the forest site absorbed more shortwave radiation than the peatland site at both the northern and the southern site pair. For the northern site pair, this difference was predominantly caused by higher springtime albedo at the peatland site, while at the southern site, the higher summertime albedo also made a substantial contribution. In total, the difference between the forest site and the peatland site was larger at the northern pair. This was caused by the snow cover persisting longer into the spring, when incoming radiation is rapidly increasing. The total surface energy balance is also influenced by other energy flux components, including longwave atmospheric radiation and turbulent heat fluxes. However, understanding of the shortwave radiation balance is critical when assessing energy balance changes due to evolving snow cover.

The interannual variation in the differences of absorbed shortwave radiation between forest sites and peatland sites are well explained by the date of snowmelt, with earlier snowmelt corresponding to smaller differences. The relationship is clearer still when only considering the shortwave radiation balance over the spring period. Any changes in snow-cover duration will therefore affect the surface energy balances of forest and peatland sites. As the study sites are located in Finland, with an unusually mild climate for its latitude, it is possible that the effect of land use on the shortwave radiation budget is larger than observed here at comparable, more southern sites.

Appendix A A1 Modelling the net shortwave radiation difference between the peatland sites and the forest sites

We found that the difference in the net shortwave radiation between the forest site and the peatland site mainly depends on the average global radiation between the sites and the snow cover at the peatland site, in line with Eq. () and snow cover being the main determinant for the albedo difference between the sites (Fig. ). To model the net shortwave radiation difference between the sites, we split the data to snow cover below and above 30 cm. We fitted a robust regression model with daily mean global radiation as predictor, with a different slope for the above-30 cm snow points (Fig. ). Points with an albedo over 0.3 at the peatland site but no snow recorded at the location were excluded from the model (19 d for the northern pair and 1 d for the southern pair). With this convention, the slope essentially describes the albedo difference between the forest site and the peatland site (Eq. ). The model produces generally more accurate predictions in winter than in summertime. There remains a dependence of the net shortwave radiation difference on the day of year, caused especially by the seasonal change in the snow-free albedo at the peatland sites (Figs.  and ). This is caused by the increase in the peatland albedo towards late summer shown in Fig. d. This increase may be due to the peatland vegetation phenology observed by . Another possibility is that the peatland site becomes drier over the summer, affecting albedo. The dryness of the site, measured by the water table depth (WTD), also shows a connection to albedo (Fig. ). However, over the summer (snow depth below 5 cm and DOY up to 250), DOY shows a higher correlation with the residuals as compared to the WTD for both site pairs (Fig. ).

We still added to the model the day of year to describe the summertime change in the peatland phenology. The snow depth used as an explanatory variable in the model was also interpolated linearly to fill some missing values (Fig. ). When the global radiation measurement was available at both sites, the mean of the two was used: if it was only available at one site, that value was used. After gap-filling, the majority of the data were still measured (Fig. ).

Table A1

Description of the measurements.

	Siikaneva	Hyytiälä	Halssiaapa	Halssikangas
Global radiation	Kipp & Zonen CNR4	Middleton SK08a,	Kipp & Zonen CMA11	Kipp & Zonen CM11
		EQ08b
Height (m)	3	18a, 35b	2	45
Site code	SII1	HYY	SUO0006	MET0002
Reflected shortwave	Kipp & Zonen CNR4	Middleton SK08	Kipp & Zonen CMA11	Kipp & Zonen CM11
Height (m)	3	125	2	45
Site code	SII1	HYY	SUO0006	MET0002
PAR	Li-Cor Li-190R	Li-Cor Li-190SZ	Kipp & Zonen PAR Lite	Li-Cor LI190SZ
Height (m)	3	18c, 35d	1.8	45
Site code	SII1	HYY	SUO0009	MET0002
Reflected PAR	Li-Cor Li-190R	Li-Cor Li-190Ra,	Kipp & Zonen PAR Lite	Li-Cor LI190SZ
		Li-190SZb
Height (m)	3	67	1.8	45
Site code	SII1	HYY	SUO0010	MET0002
Diffuse		Delta-T BF3/BF5		Kipp & Zonen CM11
		(PAR)		(shortwave)
Height (m)		18c, 35d		20
Site code		HYY		Sodankylä Tähtelä
Snow depth	Campbell ultrasonic	Jenoptik SHM30	Campbell SR50	Campbell SR50
Site code	SII1	HYY	SUO0003	MET0002
Water table depth (cm)	Druck PDCR1830e		Trafag
	Campbell CS451f
Site code	SII1		SUO0010
Soil water content (m3 m−3)	Delta PR2
Site code	SII1

^a Until September 2017. ^b From September 2017. ^c Until February 2017. ^d From February 2017. ^e Until 2016. ^f From 2017.

Figure A1

Measured and gap-filled daily snow depth averages from the sites. Snow depth data were missing from the beginning of the studied period from Siikaneva and Halssikangas. Based on the measurements at Hyytiälä and Halssiaapa, both of those sites were snow-covered during this time. For Hyytiälä, gaps longer than 20 d were not filled, and for Halssikangas, gaps longer than 36 d were not filled.

[Figure omitted. See PDF]

Figure A2

Measured and gap-filled daily net shortwave radiation differences. The majority of the data used for calculating annual averages are measured (86 % for Hyytiälä–Siikaneva and 78 % for Halssikangas–Halssiaapa).

[Figure omitted. See PDF]

Figure A3

The correspondence of the global radiation between each site pair: (a) Siikaneva and Hyytiälä and (b) Halssiaapa and the Halssikangas. Peatland site on the $y$ axis, with the forest site on the $x$ axis. For each pair both 30 min average and daily median radiation data are plotted. In addition, a total least squares (TLS) linear regression to the 30 min values is plotted, and the squared Pearson correlation coefficient ($r^{\mathrm{2}}$, coefficient of determination) is given.

[Figure omitted. See PDF]

Figure A4

The effect of diffuse fraction and solar zenith angle on the reflected radiation at the forest sites. The ratio of the reflected to incoming shortwave radiation defines the albedo.

[Figure omitted. See PDF]

Figure A5

Dependence of daily albedo on snow depth at the peatland sites, (a) southern Siikaneva and (b) northern Halssiaapa. The points are coloured by the day of year (DOY). The springtime values in Halssiaapa around DOY 100, with a high albedo but a low snow depth, are associated with the times when the peatland snow depth measurement reached zero, but snow is still detected at the forest site.

[Figure omitted. See PDF]

Figure A6

Albedo divided into white-sky and clear-sky conditions. For (a) Hyytiälä and (b) Siikaneva, clear sky is defined as the fraction of diffuse PAR in Hyytiälä under 0.4, and white-sky is defined as the ratio over 0.85. In (c) Halssikangas and (d) Halssiaapa the limits are 0.35 and 0.95 but for the diffuse shortwave radiation.

[Figure omitted. See PDF]

Figure A7

Albedo in Hyytiälä as a function of snow depth, coloured by global radiation. (a) Time up to the end of January 2020, before the thinning; (b) after the thinning, starting from April 2020.

[Figure omitted. See PDF]

Figure A8

Clear-sky PAR albedo in Hyytiälä, coloured by year. The jump in the PAR albedo from 2017 to 2018 is caused by replacement of the sensor for reflected PAR in September 2017.

[Figure omitted. See PDF]

Figure A9

Typical annual cycles of the net shortwave radiation: (a) Hyytiälä, (b) Siikaneva, (c) difference of Hyytiälä and Siikaneva, (d) Halssikangas, (e) Halssiaapa, and (f) difference of Halssikangas and Halssiaapa. The statistics are calculated for all of the daily values belonging to each week number, over all of the years. The data are not gap-filled, and therefore the data coverage for each panel differs. The Hyytiälä–Siikaneva data set includes 8 years; the Halssikangas–Halssiaapa data set includes 12 years. The average annual absorbed shortwave radiation, calculated as a sum of daily medians, is 3.15 GJ m⁻² for Hyytiälä, 2.68 GJ m⁻² for Siikaneva, 2.53 GJ m⁻² for Halssikangas, and 2.03 GJ m⁻² for Halssiaapa. The average annual difference between Hyytiälä and Siikaneva, calculated in the same way, is 0.35 GJ m⁻², and between Halssikangas and Halssiaapa it is 0.45 GJ m⁻². Due to the differing data coverage, these numbers are not directly comparable.

[Figure omitted. See PDF]

Figure A10

The albedo difference (peatland – forest) as a function of the incoming radiation. The product of the global radiation and the difference in albedo determines the difference in the net shortwave radiation between the sites (Eq. ).

[Figure omitted. See PDF]

Figure A11

The difference in the net shortwave radiation between (a) Hyytiälä and Siikaneva and (b) Halssikangas and Halssiaapa as a function of the mean global radiation over the sites, when the snow depth at the peatland site is at least 30 cm. Daily averages; the colour of the markers indicates the snow depth at the peatland site.

[Figure omitted. See PDF]

Figure A12

The difference in the net shortwave radiation between (a) Hyytiälä and Siikaneva and (b) Halssikangas and Halssiaapa as a function of the mean global radiation over the sites. Daily averages; the colour of the markers indicates the DOY. Only days with snow depth at the peatland site of less than 30 cm are included.

[Figure omitted. See PDF]

Figure A13

The number of snow-covered days in the first part of year at the forest site is shown on the $y$ axis, and the number at the peatland site is shown on the $x$ axis. Due to the continuous snow cover nearly each spring, the number of snow-covered days virtually always corresponds to the snowmelt DOY. For the beginning of the studied period in Siikaneva and Halssikangas, when the snow depth data were missing (Fig. ), the site was assumed to be snow-covered due to deep snow cover at the site pair.

[Figure omitted. See PDF]

Figure A14

The predicted vs. observed net shortwave difference values difference in (a) Hyytiälä and Siikaneva and (b) Halssikangas and Halssiaapa. Predicted points based on linear model with global radiation, snow cover, and DOY as predictors; $\mathrm{1}:\mathrm{1}$ line drawn as a reference.

[Figure omitted. See PDF]

Figure A15

The difference in the net shortwave radiation between the Halssikangas and Halssiaapa sites as a function of the mean global radiation over the sites. Daily averages; the colour of the markers indicates the snow depth in Halssiaapa. Fitted points based on linear model with different slopes for snow-cover categories less than and over 30 cm.

[Figure omitted. See PDF]

Figure A16

The residuals from the model in Fig.  plotted against day of year (DOY). High residuals are seen around snowmelt, when the snow at the peatland measurement point has melted, but scattered snow cover still remains. In addition, there is a clear pattern with respect to DOY before but especially after snowmelt. This is possibly due to the development of vegetation phenology, also visible in the summertime albedo in Fig. d.

[Figure omitted. See PDF]

Figure A17

The dependence of peatland summertime albedo on DOY, water table depth, and soil moisture.

[Figure omitted. See PDF]

Figure A18

The residuals from the model in Fig.  plotted against day of year and water table depth, for daily snow depth below 5 cm and DOY up to 250.

[Figure omitted. See PDF]

Figure A19

The difference in the net shortwave radiation between (a) Hyytiälä and Siikaneva and (b) Halssikangas and Halssiaapa as a function of the mean global radiation over the sites. Daily averages; the colour of the markers indicates the snow depth at the peatland site. Fitted points based on linear model with global radiation, snow cover, and DOY as predictors.

[Figure omitted. See PDF]

Code and data availability

The data for Siikaneva and Hyytiälä were downloaded from SmartSMEAR (10.23729/23DD00B2-B9D7-467A-9CEE-B4A122486039, ; 10.23729/08D89ADA-D152-4C8B-8DB4-AE8A8F17F825, ), and the data for Halssiaapa and Halssikangas were downloaded from https://litdb.fmi.fi () and https://en.ilmatieteenlaitos.fi/download-observations (). The data are available under Creative Commons Attribution 4.0 (CC BY 4.0) and Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) licenses. The software codes used for the analysis in MATLAB, as well as a copy of the data, are available at 10.5281/zenodo.14035151 .

Author contributions

OP and MK conceived and designed the study. OP conducted the data analysis and visualization and wrote the manuscript. MA and PK took part in the data collection. All authors contributed to the interpretation of the results and read and commented on the manuscript.

Competing interests

The contact author has declared that none of the authors has any competing interests.

Disclaimer

Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors.

Acknowledgements

University of Helsinki support via ACTRIS-HY is acknowledged. Support of the technical and scientific staff in Hyytiälä is acknowledged. We thank Anna Kontu for assistance with the Sodankylä data.

Financial support

This research has been supported by the Research Council of Finland (grant nos. 337549, 337552, 302958, 1325656, 311932, 334792, 316114, 325647, 325681, and 347782); the Strategic Research Council (SRC) established within the Research Council of Finland (grant no. 352431); the European Research Council, H2020 (grant no. 742206); the “Quantifying carbon sink, CarbonSink+ and their interaction with air quality” INAR project funded by the Jane and Aatos Erkko Foundation; the “Gigacity” project funded by the Jenny and Antti Wihuri Foundation; and the European Union via Non-CO₂ Forcers and their Climate, Weather, Air Quality and Health Impacts (FOCI).Open-access funding was provided by the Helsinki University Library.

Review statement

This paper was edited by Paul Stoy and reviewed by two anonymous referees.