Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Patrick N. Gatlin"'
Publikováno v:
Earth and Space Science, Vol 10, Iss 11, Pp n/a-n/a (2023)
Abstract This paper outlines the construction of a new Multiplatform Precipitation Feature (MPF) framework designed to facilitate storm‐based analyses of data sets from multiple independent observing platforms for convective studies. The MPF approa
Externí odkaz:
https://doaj.org/article/68406b65e08446fe886a8385709bc216
Autor:
Merhala Thurai, Viswanathan Bringi, David Wolff, David A. Marks, Patrick N. Gatlin, Matthew T. Wingo
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4690 (2021)
A novel method for retrieving the moments of rain drop size distribution (DSD) from the dual-frequency precipitation radar (DPR) onboard the global precipitation mission satellite (GPM) is presented. The method involves the estimation of two chosen r
Externí odkaz:
https://doaj.org/article/0766f49fb34d4cfba01bb5410e8143a9
Publikováno v:
Atmosphere, Vol 12, Iss 7, p 819 (2021)
Precipitation plays a vital role within the Earth system [...]
Externí odkaz:
https://doaj.org/article/06ec3f758fdf466f8d049469eff452e2
Autor:
Patrick N. Gatlin, Walter A. Petersen, Jason L. Pippitt, Todd A. Berendes, David B. Wolff, Ali Tokay
Publikováno v:
Atmosphere, Vol 11, Iss 9, p 1010 (2020)
A unique capability of the Global Precipitation Measurement (GPM) mission is its ability to better estimate the raindrop size distribution (DSD) on a global scale. To validate the GPM DSD retrievals, a network of more than 100 ground-based polarimetr
Externí odkaz:
https://doaj.org/article/55cf2b8aa01c45e9be6e6679949f0caf
Publikováno v:
Atmosphere, Vol 10, Iss 1, p 39 (2019)
The raindrop size distribution (DSD) is fundamental for quantitative precipitation estimation (QPE) and in numerical modeling of microphysical processes. Conventional disdrometers cannot capture the small drop end, in particular the drizzle mode whic
Externí odkaz:
https://doaj.org/article/ba4f91c9653c4e10ac124e333b0cfe79
Publikováno v:
Atmosphere, Vol 9, Iss 8, p 319 (2018)
Vertical variability in the raindrop size distribution (RSD) can disrupt the basic assumption of a constant rain profile that is customarily parameterized in radar-based quantitative precipitation estimation (QPE) techniques. This study investigates
Externí odkaz:
https://doaj.org/article/ad9ba3bb1e2f46269d00115d20a127d3
Autor:
Ali Tokay, Liang Liao, Robert Meneghini, Charles N. Helms, S. Joseph Munchak, David B. Wolff, Patrick N. Gatlin
Publikováno v:
Journal of Applied Meteorology and Climatology. 62:611-624
Parameters of the normalized gamma particle size distribution (PSD) have been retrieved from the Precipitation Image Package (PIP) snowfall observations collected during the International Collaborative Experiment–PyeongChang Olympic and Paralympic
Publikováno v:
Journal of Hydrometeorology. 24:691-708
Improving estimation of snow water equivalent rate (SWER) from radar reflectivity (Ze), known as a SWER(Ze) relationship, is a priority for NASA’s Global Precipitation Measurement (GPM) mission ground validation program as it is needed to comprehen
Autor:
Jairo M. Valdivia, Patrick N. Gatlin, Shailendra Kumar, Danny Scipión, Yamina Silva, Walter A. Petersen
Publikováno v:
Journal of Applied Meteorology and Climatology. 61:441-456
A vertically pointing Ka-band radar (Metek MIRA-35C) installed at the Instituto Geofísico del Perú, Atmospheric Microphysics and Radiation Laboratory (LAMAR) Huancayo Observatory, which is located at an elevation of 3.3 km MSL in the Andes Mountain
Autor:
Jonathan L. Case, Patrick N. Gatlin, Jayanthi Srikishen, Bhupesh Adhikary, Md. Abdul Mannan, Jordan R. Bell
Publikováno v:
Bulletin of the American Meteorological Society.
Some of the most intense thunderstorms on Earth occur in the Hindu Kush Himalaya (HKH) region of southern Asia — where many organizations lack the capacity needed to predict, observe and/or effectively respond to the threats associated with high-im