Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Norman B, Wood"'
Publikováno v:
Journal of Applied Meteorology and Climatology. 61:1257-1271
Two spaceborne radars currently in orbit enable the sampling of snowfall near the surface and throughout the atmospheric column, namely, CloudSat’s Cloud Profiling Radar (CPR) and the Global Precipitation Measurement mission’s Dual-Frequency Prec
Autor:
F. Joseph Turk, Sarah E. Ringerud, Andrea Camplani, Daniele Casella, Randy J. Chase, Ardeshir Ebtehaj, Jie Gong, Mark Kulie, Guosheng Liu, Lisa Milani, Giulia Panegrossi, Ramon Padullés, Jean-François Rysman, Paolo Sanò, Sajad Vahedizade, Norman B. Wood
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2264 (2021)
The Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) (Ku- and Ka-band, or 14 and 35 GHz) provides the capability to resolve the precipitation structure under moderate to heavy precipitation conditions. In this manuscrip
Externí odkaz:
https://doaj.org/article/b8820f8ab9e04cadbf2fbea111dca6ff
Autor:
Claire Pettersen, Larry F. Bliven, Mark S. Kulie, Norman B. Wood, Julia A. Shates, Jaclyn Anderson, Marian E. Mateling, Walter A. Petersen, Annakaisa von Lerber, David B. Wolff
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2183 (2021)
Surface precipitation phase is a fundamental meteorological property with immense importance. Accurate classification of phase from satellite remotely sensed observations is difficult. This study demonstrates the ability of the Precipitation Imaging
Externí odkaz:
https://doaj.org/article/fea6035f9ca449c5a02e24e8987e0fbd
Autor:
Lisa Milani, Norman B. Wood
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2041 (2021)
Falling snow is a key component of the Earth’s water cycle, and space-based observations provide the best current capability to evaluate it globally. The Cloud Profiling Radar (CPR) on board CloudSat is sensitive to snowfall, and other satellite mi
Externí odkaz:
https://doaj.org/article/bff74787759c42c5a478a07fa05ce22e
Autor:
Claire Pettersen, Larry F. Bliven, Annakaisa von Lerber, Norman B. Wood, Mark S. Kulie, Marian E. Mateling, Dmitri N. Moisseev, S. Joseph Munchak, Walter A. Petersen, David B. Wolff
Publikováno v:
Atmosphere, Vol 11, Iss 8, p 785 (2020)
Remote-sensing observations are needed to estimate the regional and global impacts of snow. However, to retrieve accurate estimates of snow mass and rate, these observations require augmentation through additional information and assumptions about hy
Externí odkaz:
https://doaj.org/article/2f0bfc489f094dcd84d434c92a83e61f
Autor:
David B. Wolff, Claire Pettersen, Maximilian Maahn, Walter A. Petersen, Ali Tokay, David Beachler, Paul A. Kucera, L. F. Bliven, Todd Kluber, Norman B. Wood, Stefan Kneifel, Robin Turner, Christopher Spence, Michael Dutter, Timothy J. Wagner, Mark S. Kulie, John Lenters, Marian E. Mateling, Peter D. Blanken, Aronne Merrelli
Publikováno v:
Bulletin of the American Meteorological Society. 102:E1317-E1339
A multisensor snowfall observational suite has been deployed at the Marquette, Michigan, National Weather Service Weather Forecast Office (KMQT) since 2014. Micro Rain Radar (MRR; profiling radar), Precipitation Imaging Package (PIP; snow particle im
Autor:
Norman B. Wood, Tristan L'Ecuyer
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 869-888 (2021)
The ability of single-frequency, millimeter-wavelength radar reflectivity observations to provide useful constraints for retrieval of snow particle size distribution (PSD) parameters, snowfall rates, and snowfall accumulations is examined. An optimal
Publikováno v:
The Cryosphere, Vol 14, Pp 4379-4404 (2020)
The mass of the Greenland Ice Sheet (GrIS) is decreasing due to increasing surface melt and ice dynamics. Snowfall both adds mass to the GrIS and has the capacity to reduce surface melt by increasing surface brightness, reflecting additional solar ra
Autor:
Norman B. Wood, Timothy J. Wagner, Larry F. Bliven, Mark S. Kulie, David B. Wolff, Aronne Merrelli, Walter A. Petersen, Claire Pettersen
Publikováno v:
Journal of Applied Meteorology and Climatology. 59:103-124
Presented are four winter seasons of data from an enhanced precipitation instrument suite based at the National Weather Service (NWS) Office in Marquette (MQT), Michigan (250–500 cm of annual snow accumulation). In 2014 the site was augmented with
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