Characterizing Uncertainties in Ground “Truth” of Precipitation Over Complex Terrain Through High‐Resolution Numerical Modeling-Reference-Cited by-同舟云学术

Characterizing Uncertainties in Ground “Truth” of Precipitation Over Complex Terrain Through High‐Resolution Numerical Modeling

Published:2021-05-21 Issue:10 Volume:48 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys Res Lett

Author:

Ouyang Lin¹^ORCID,Lu Hui¹^ORCID,Yang Kun¹²³^ORCID,Leung L. Ruby⁴^ORCID,Wang Yan⁵^ORCID,Zhao Long⁶^ORCID,Zhou Xu²^ORCID,Lazhu ²^ORCID,Chen Yingying²³^ORCID,Jiang Yaozhi²^ORCID,Yao Xiangnan¹^ORCID

Affiliation:

1. Department for Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Tsinghua University Beijing China

2. National Tibetan Plateau Data Center Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China

3. Center of Excellence for Tibetan Plateau Earth Science Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China

4. Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA

5. Department of Meteorology and Atmosphere Science Pennsylvania State University State College PA USA

6. School of Geographical Sciences Southwest University Chongqing China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020GL091950

Reference48 articles.

1. A new parametrization of turbulent orographic form drag

2. Performance of the Weather Research and Forecasting Model for Month-Long Pan-Arctic Simulations

3. Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity

4. Investigating the Evaluation Uncertainty for Satellite Precipitation Estimates Based on Two Different Ground Precipitation Observation Products

5. Comparison analysis of six purely satellite-derived global precipitation estimates

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