Results 201 to 210 of about 1,958 (257)

The Influence Of Rainfall Classification On Bias Correction Of Satellite Precipitation Products Power Merra-2, Gsmap, And Persiann-Ccs

Irene Baria, A A N Satria Damarnegara, Mohammad Bagus Ansori   +2 more
openalex   +2 more sources

PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset. [PDF]

J Hydrometeorol, 2020
Nguyen P, Ombadi M, Gorooh VA, Shearer EJ, Sadeghi M, Sorooshian S, Hsu K, Bolvin D, Ralph MF.   +8 more
europepmc   +1 more source

LSTM Modeling and Results Using GSMaP Satellite Data, Water Level Records, and HEC-HMS Synthetic Data

Rohmat, Faizal, Deno, Pascalis Dwi Rosario, Kardhana, Hadi, Wijayasari, Winda   +3 more
openalex   +2 more sources

NPreciSe - An Automated Satellite Precipitation Product Assessment Tool. [PDF]

Sci Data
Arulraj M, Petković V, Wen S, Ferraro RR, Meng H.   +4 more
europepmc   +1 more source

Development of GSMaP prototype in pre-TRMM era and satellite rainfall climate study

Munehisa K. Yamamoto, Shoichi SHIGE, Atsushi Higuchi   +2 more
openalex   +1 more source

衛星雨量プロダクトGSMaPの性能調査および補正方法の検討 : コロンビア・アトラト川流域を事例として [PDF]

翔太郎 小山
openalex  

How GPM IMERG and GSMaP advance hydrological applications: A global perspective

Journal of Hydrology
Zhijun Huang, Huan Wu, Guojun Gu, Koray K. Yilmaz, Nergui Nanding, Chaoqun Li   +5 more
openaire   +1 more source

Spatial transcriptomics reveals immune-stromal crosstalk within the synovium of patients with juvenile idiopathic arthritis. [PDF]

JCI Insight
Inamo J, Fierkens R, Clay MR, Jonsson AH, Lin C, Hayes K, Rogers N, Leach H, Yomogida K.   +8 more
europepmc   +1 more source

Genome-Wide Meta-Analysis Identifies 47 Novel Loci and Links Essential Tremor to Ventral Diencephalon and Cerebellum Morphometry

Ogonowski NS, Cao F, Flores-Ocampo V, Salazar-Magaña S, Seviiri M, Song L, Nayler S, Kugelman J, Cuellar-Partida G, MacGregor S, Im HK, Harding IH, Gharahkhani P, Martin NG, Kumar KR, Yang J, Diaz-Torres S, Rentería ME.   +17 more
europepmc   +1 more source

MedLesSynth-LD: Lesion synthesis using physics-based noise models for robust lesion segmentation in low-data medical imaging regimes. [PDF]

Pattern Recognit Lett
Narayanan R, Sundaresan V.
europepmc   +1 more source