Results 71 to 80 of about 1,958 (257)

Implementation of a Rainfall Normalization Module for GSMaP Microwave Imagers and Sounders

open access: yesRemote Sensing, 2022
This paper introduces the Method of Microwave Rainfall Normalization (MMN) for the Global Satellite Mapping of Precipitation (GSMaP) algorithm in its latest version (V05, algorithm version 8), released in December 2021. The method aims to mitigate the discrepancy of GSMaP rainfall estimates among passive microwave (PMW) imagers/sounders (MWIs/MWSs) due
Munehisa K. Yamamoto, Takuji Kubota
openaire   +2 more sources

A Machine Learning Approach for Improving the Accuracy of Gridded Precipitation With Uncertainty Quantification

open access: yesInternational Journal of Climatology, Volume 46, Issue 1, January 2026.
A novel machine learning (ML) approach combining extreme gradient boosting with quantile regression is used to create Vietnam Precipitation with Uncertainty (VNpu). Our VNpu dataset outperforms individual input products, benchmark interpolation methods and an existing gauge‐based product, particularly for heavy and extreme rainfall events. ABSTRACT The
Vinh Ngoc Tran   +15 more
wiley   +1 more source

Genomic introgression mapping of field-derived multiple-anthelmintic resistance in Teladorsagia circumcincta [PDF]

open access: yes, 2017
Preventive chemotherapy has long been practiced against nematode parasites of livestock, leading to widespread drug resistance, and is increasingly being adopted for eradication of human parasitic nematodes even though it is similarly likely to lead to ...
Bisset, Stewart A   +6 more
core   +4 more sources

Variability in Updraft Mass Flux Across the Top of the Atmospheric Boundary Layer Over the Tropical Western North Pacific Associated With a Tropical Depression

open access: yesJournal of Geophysical Research: Atmospheres, Volume 130, Issue 23, 16 December 2025.
Abstract Over tropical oceans, cumulus convection is triggered by updrafts from the atmospheric boundary layer (BL). Given mutual interactions between cumulus convective ensembles and synoptic‐ to global‐scale atmospheric phenomena, it seems important to quantitatively evaluate the updraft on spatiotemporal scales relevant to the interactions and ...
S. Yokoi   +3 more
wiley   +1 more source

Validation of Hourly GSMAP and Ground Base Estimate of Precipitation for Flood Monitoring in Kumamoto, Japan [PDF]

open access: yes, 2017
GSMaP (Global Satellite Mapping Precipitation) satellite rainfall estimates are evaluated at the hourly time scale and spatial resolution 0.1 degree latitude x 0.1 degree longitude.
Aryastana, Putu   +2 more
core  

Rain Rate Retrieval Algorithm for Conical-Scanning Microwave Imagers Aided by Random Forest, RReliefF, and Multivariate Adaptive Regression Splines (RAMARS) [PDF]

open access: yes, 2015
This paper proposes a rain rate retrieval algorithm for conical-scanning microwave imagers (RAMARS), as an alternative to the NASA Goddard profiling (GPROF) algorithm, that does not rely on any a priori information.
Dai, Qiang   +4 more
core   +2 more sources

GENERACIÓN DE UN PRODUCTO DE PRECIPITACIÓN DIARIA PARA LA CUENCA CHOQUEYAPU EN LA CIUDAD DE LA PAZ

open access: yesInvestigación & Desarrollo
En este estudio se ha generado un producto precipitación diaria para el periodo 2021 a 2023 como resultado de la combinación de estaciones locales e información de sensores remotos.
Jhonatan E. Ureña   +2 more
doaj   +1 more source

Impact of Land Use Change and Drought on the Net Emissions of Carbon Dioxide and Methane From Tropical Peatlands in Southeast Asia

open access: yesAGU Advances, Volume 6, Issue 6, December 2025.
Abstract Peat decomposition is progressing in Southeast Asia due to lowered groundwater levels (GWL) caused by drainage. Additionally, droughts during El Niño events significantly lower the GWL, the main environmental factor that controls greenhouse gas (GHG; carbon dioxide (CO2) and methane) emissions in peatlands.
Takashi Hirano   +19 more
wiley   +1 more source

Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan [PDF]

open access: yes, 2015
Flood monitoring was conducted using multi-sensor data from space-borne optical, and microwave sensors; with cross-validation by ground-based rain gauges and streamflow stations along the Indus River; Pakistan.
DE GROEVE Tom   +4 more
core   +1 more source

Applications of Attention‐Enhanced CNN Models to Regional Precipitation Downscaling

open access: yesEarth and Space Science, Volume 12, Issue 12, December 2025.
Abstract Precipitation downscaling is essential for generating high‐resolution data from coarse‐resolution global climate models and assessing the environmental impacts of climate change at regional and local scales. Convolutional Neural Networks (CNNs) are an emerging critical deep‐learning technique that promises significant improvements over other ...
Lei Fan   +6 more
wiley   +1 more source

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