Abstract

Key Points:  The HRRR model surface thermodynamic biases are seasonally dependent, presenting a systematic warm and dry bias during the warm season.  The primary locations of the summer warm and dry biases are over farmland, on days with optically thick clouds.  A hydrological bias underestimating of spring snow melt is consistent with subsequent summer warm and dry biases over farmland.

Details

Title
Evaluating sources of surface bias in HRRR using New York State Mesonet
Author
Lanxi Min  VIAFID ORCID Logo  ; Fitzjarrald, David R  VIAFID ORCID Logo  ; Du, Yuyi  VIAFID ORCID Logo  ; Rose, Brian E J  VIAFID ORCID Logo  ; Jia, Hong; Min, Qilong
Section
Atmospheric Sciences
Publication year
2021
Publication date
Apr 26, 2021
Publisher
American Geophysical Union
Source type
Working Paper
Language of publication
English
DOI
https://doi.org/10.1002/essoar.10506883.1
ProQuest document ID
2518554753
Copyright
© 2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.