Enhancing the TRMM precipitation product in diverse regions of Iran through an intelligent-based post-processing approach

Publication Year

Thu, 01/25/2024

Authors

Shahbazdashti, R., A. Sharafati, Y. Kheyruri, F. Ghasemzadeh, and S. H. Mohajeri

Journal

Acta Geophysica

Volume

72(4)

Page Numbers

2925–2940

DOI

10.1007/s11600-023-01280-5

Mission Affiliation

GPM

Major Category

GPM

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The Response of Precipitation to Initial Soil Moisture over the Tibetan Plateau: Respective Effects of Boundary Layer Vertical Heat and Vapor Diffusions

Publication Year

Thu, 02/01/2024

Authors

Zhang, F., K. Bi, S. Wei, and C. Wang

Journal

Mon. Wea. Rev.

Volume

152(2)

Page Numbers

589–605

DOI

10.1175/MWR-D-23-0025.1

Mission Affiliation

GPM

Major Category

GPM

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Studying the kinetic energy budget and moisture transport during a severe case of cyclogenesis

Publication Year

Mon, 11/11/2024

Authors

Labban, A. H.

Journal

Applied Water Science

Volume

14(12)

Page Numbers

255

DOI

10.1007/s13201-024-02313-0

Mission Affiliation

GPM

Major Category

GPM

• Read more about Studying the kinetic energy budget and moisture transport during a severe case of cyclogenesis

Spatiotemporal analysis of different vegetation indices and relation to meteorological parameters over a tropical urban location and its surroundings

Publication Year

Wed, 09/25/2024

Authors

De, A., N. Sahani, A. Datta, and A. Maitra

Journal

Atmósfera

Volume

38

DOI

10.20937/ATM.53297

Mission Affiliation

GPM

Major Category

GPM

• Read more about Spatiotemporal analysis of different vegetation indices and relation to meteorological parameters over a tropical urban location and its surroundings

Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning

Publication Year

Fri, 10/04/2024

Authors

Sahaar, S. A., and J. D. Niemann

Journal

Rem. Sens.

Volume

16(19)

Page Numbers

3699

DOI

10.3390/rs16193699

Mission Affiliation

GPM

Major Category

GPM

• Read more about Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning

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