Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Stephen J. Munchak"'
Autor:
Hélène Brogniez, Rémy Roca, Franck Auguste, Jean-Pierre Chaboureau, Ziad Haddad, Stephen J. Munchak, Xiaowen Li, Dominique Bouniol, Alexis Dépée, Thomas Fiolleau, Pavlos Kollias
Publikováno v:
Frontiers in Remote Sensing, Vol 3 (2022)
Convective clouds serve as a primary mechanism for the transfer of thermal energy, moisture, and momentum through the troposphere. Arguably, satellite observations are the only viable way to sample the convective updrafts over the oceans. Here, the p
Externí odkaz:
https://doaj.org/article/154fc4f4468847ee9b53f1222e5c547f
Autor:
Spandan Das, Yiding Wang, Jie Gong, Leah Ding, Stephen J. Munchak, Chenxi Wang, Dong L. Wu, Liang Liao, William S. Olson, Donifan O. Barahona
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3631 (2022)
Precipitation type is a key parameter used for better retrieval of precipitation characteristics as well as to understand the cloud–convection–precipitation coupling processes. Ice crystals and water droplets inherently exhibit different characte
Externí odkaz:
https://doaj.org/article/8940cd103a8b49728f5f392dce515079
Autor:
Vincenzo Levizzani, Stephen J. Munchak, Norman B. Wood, Mark S. Kulie, Lisa Milani, Gail Skofronick-Jackson
Publikováno v:
Journal of applied meteorology and climatology 58 (2019): 1429–1448. doi:10.1175/JAMC-D-18-0124.1
info:cnr-pdr/source/autori:Skofronick-Jackson, Gail; Kulie, Mark; Milani, Lisa; Munchak, Stephen J.; Wood, Norman B.; Levizzani, Vincenzo/titolo:Satellite Estimation of Falling Snow: A Global Precipitation Measurement (GPM) Core Observatory Perspective/doi:10.1175%2FJAMC-D-18-0124.1/rivista:Journal of applied meteorology and climatology/anno:2019/pagina_da:1429/pagina_a:1448/intervallo_pagine:1429–1448/volume:58
info:cnr-pdr/source/autori:Skofronick-Jackson, Gail; Kulie, Mark; Milani, Lisa; Munchak, Stephen J.; Wood, Norman B.; Levizzani, Vincenzo/titolo:Satellite Estimation of Falling Snow: A Global Precipitation Measurement (GPM) Core Observatory Perspective/doi:10.1175%2FJAMC-D-18-0124.1/rivista:Journal of applied meteorology and climatology/anno:2019/pagina_da:1429/pagina_a:1448/intervallo_pagine:1429–1448/volume:58
Retrievals of falling snow from space-based observations represent key inputs for understanding and linking Earth’s atmospheric, hydrological, and energy cycles. This work quantifies and investigates causes of differences among the first stable fal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aa70f8d2e4415fd65ab8b284fe6fcf5
https://doi.org/10.1175/jamc-d-18-0124.1
https://doi.org/10.1175/jamc-d-18-0124.1
Current microwave precipitation retrieval algorithms utilize the instantaneous brightness temperature (TB) from a single satellite to estimate the precipitation rate. This study proposed to add the time-dimension into the precipitation estimation pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a1d9b03ea429197709bee2438417fc2
https://doi.org/10.5194/egusphere-egu21-443
https://doi.org/10.5194/egusphere-egu21-443
Precipitation flag (precipitating or not; stratiform or convective) is a key parameter for us to make betterretrieval of precipitation characteristics as well as to understand the cloud-precipitati...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::672907c0eafa00f44e3939ec53ac6d4a
https://doi.org/10.1002/essoar.10504985.1
https://doi.org/10.1002/essoar.10504985.1
Autor:
Gail, Skofronick-Jackson, Mark, Kulie, Lisa, Milani, Stephen J, Munchak, Norman B, Wood, Vincenzo, Levizzani
Publikováno v:
J Appl Meteorol Climatol
Retrievals of falling snow from space-based observations represent key inputs for understanding and linking Earth’s atmospheric, hydrological, and energy cycles. This work quantifies and investigates causes of differences among the first stable fal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::38836dde3cfcad22308bd999b5efe1d3
https://pubmed.ncbi.nlm.nih.gov/32655334
https://pubmed.ncbi.nlm.nih.gov/32655334
Autor:
William S. Olson, Bartie L. Kelley, Mircea Grecu, Liang Liao, Steven F. McLaughlin, Stephen J. Munchak, Sarah Ringerud, Ziad S. Haddad
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 33:2225-2245
In this paper, the operational Global Precipitation Measurement (GPM) mission combined radar–radiometer algorithm is thoroughly described. The operational combined algorithm is designed to reduce uncertainties in GPM Core Observatory precipitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e835889c8d09ae684fe9af3ce832a8a8
https://doi.org/10.1175/jtech-d-16-0019.1
https://doi.org/10.1175/jtech-d-16-0019.1
Autor:
Stephen J. Munchak, George J. Huffman, Mark S. Kulie, Lisa Milani, Gail Skofronick-Jackson, Norm Wood
Publikováno v:
IGARSS
Water is essential to our planet Earth. Retrievals of falling snow from space represent an important data set for understanding the Earth's atmospheric, hydrological, and energy cycles. Knowing when, where and how precipitation falls is crucial for u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5a10e2159919acab77849670bc5f6bb
https://doi.org/10.1109/igarss.2018.8519544
https://doi.org/10.1109/igarss.2018.8519544
Autor:
Rosemary R. Baize, Tirthankar Banerjee, Venkatachalam Chandrasekar, Haonan Chen, Rakesh M. Gairola, Yongxiang Hu, Ryoichi Imasu, Satoshi Kida, Christine Knist, Alexander Kokhanovsky, Takuji Kubota, Manish Kumar, Kwon H. Lee, Luca Lelli, Tomoaki Mega, Alaa Mhawish, Akhila K. Mishra, Ashis K. Mitra, Sonoyo Mukai, Stephen J. Munchak, Hamid Norouzi, Damodara S. Pai, Satya Prakash, Daniel Rosenfeld, Herman Russchenberg, Shoichi Shige, Yu Someya, Prashant K. Srivastava, Wenbo Sun, Francisco J. Tapiador, Atul K. Varma, Gorden Videen, Marco Vountas, Yi Wang, Jun Wang, Man S. Wong, Xiaoguang Xu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3c2a39fe4a5189d1a743cd9a582654b
https://doi.org/10.1016/b978-0-12-810437-8.09990-4
https://doi.org/10.1016/b978-0-12-810437-8.09990-4
Autor:
Walter A. Petersen, Benjamin T Lott, Sarah Ringerud, Gail Skofronick-Jackson, Stephen J. Munchak
Publikováno v:
IGARSS
Retrievals of falling snow from space represent an important data set for understanding the Earth's atmospheric, hydrological, and energy cycles, especially during climate change. Estimates of falling snow must be captured to obtain the true global p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::278bf552cc28174ddfe9c608b875f1ef
https://doi.org/10.1109/igarss.2017.8127559
https://doi.org/10.1109/igarss.2017.8127559