Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019GL084576 |
Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm | |
Rysman, Jean-Francois1,2; Panegrossi, Giulia1; Sano, Paolo1; Marra, Anna Cinzia1; Dietrich, Stefano1; Milani, Lisa3,4; Kulie, Mark S.5; Casella, Daniele1; Camplani, Andrea1,6; Claud, Chantal2; Edel, Leo2 | |
2019-11-29 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2019 |
卷号 | 46期号:22页码:13593-13601 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy; France; USA |
英文摘要 | In this study, we present a new module for the Snow retrievaL ALgorithm fOr gMi (SLALOM) that retrieves surface snowfall rate using Global Precipitation Measurement (GPM) Microwave Imager measurements together with humidity and temperature vertical profiles. This module, named Surface Snowfall Rate Module, is tuned using colocated surface snowfall observations of the Cloud Profiling Radar onboard CloudSat. Using this new module, the SLALOM algorithm is able to predict surface snowfall rate with a relative bias of -13%, a root-mean-square error of 0.08 mm/hr, and a correlation coefficient of 0.7. Surface Snowfall Rate Module is then used to retrieve snowfall rate for three case studies and to provide a unique, 70 degrees S to 70 degrees N high-resolution distribution of average surface snowfall rate from 2014 to 2017. This new product will be useful for surface precipitation analyses, global water budget estimation, and climatological analyses. |
英文关键词 | Snowfall Remote Sensing Passive Microwave GMI CPR |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000499304500001 |
WOS关键词 | FALLING SNOW ; LAND ; CLOUDSAT ; MULTISENSOR ; PARTICLES ; RAIN |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/225134 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.CNR, Inst Atmospher Sci & Climate, Rome, Italy; 2.Univ Paris Saclay, Ecole Polytech, CNRS, IPSL,Lab Meteorol Dynam, Palaiseau, France; 3.NASA, Goddard Space Flight Ctr, Greenbelt, MD USA; 4.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA; 5.NOAA, NESDIS, STAR, Adv Satellite Prod Branch, Madison, WI USA; 6.Sapienza Univ Rome, Geodesy & Geomat Div, DICEA, Rome, Italy |
推荐引用方式 GB/T 7714 | Rysman, Jean-Francois,Panegrossi, Giulia,Sano, Paolo,et al. Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm[J]. GEOPHYSICAL RESEARCH LETTERS,2019,46(22):13593-13601. |
APA | Rysman, Jean-Francois.,Panegrossi, Giulia.,Sano, Paolo.,Marra, Anna Cinzia.,Dietrich, Stefano.,...&Edel, Leo.(2019).Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm.GEOPHYSICAL RESEARCH LETTERS,46(22),13593-13601. |
MLA | Rysman, Jean-Francois,et al."Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm".GEOPHYSICAL RESEARCH LETTERS 46.22(2019):13593-13601. |
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