Results 71 to 80 of about 4,321,601 (325)

Temporal stability of soil moisture and radar backscatter observed by the advanced Synthetic Aperture Radar (ASAR) [PDF]

, 2008
The high spatio-temporal variability of soil moisture is the result of atmospheric forcing and redistribution processes related to terrain, soil, and vegetation characteristics.
Alexander Löw, Annett Bartsch, Baghdadi, Bamler, Bartalis, Baup, Carsten Pathe, Ceballos, Ceballos, Chen, Cosh, Cosh, Crow, Daniel Sabel, Davidson, De Lannoy, Dirmeyer, Dubayah, Engman, Entin, Fung, Gauthier, Grayson, Günter Blöschl, Hillel, José Martínez-Fernández, Kerr, Kerr, Klaus Scipal, Loew, Marcela Doubkova, Martinez-Fernandez, Martinez-Fernandez, Meier, Moran, Mäkynen, Narayan, Njoku, Njoku, Pellarin, Raju, Schanda, Stefan Hasenauer, Ulaby, Ulaby, Vachaud, van Zyl, Vinnikov, Wagner, Wagner, Wagner, Wagner, Walker, Walker, Western, Western, Wolfgang Wagner, Zhao, Zink   +58 more
core   +4 more sources

Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework

Advanced Science, EarlyView.
A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee, Seokwan Roh, Jaewoo Jeong, Kuk‐Jin Yoon, Jungchul Lee, Youngsuk Nam   +5 more
wiley   +1 more source

PreciPatch: A Dictionary-based Precipitation Downscaling Method

Remote Sensing, 2020
Climate and weather data such as precipitation derived from Global Climate Models (GCMs) and satellite observations are essential for the global and local hydrological assessment.
Mengchao Xu, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M Putman, Mark Carroll, Tsengdar Lee, Chaowei Yang   +8 more
doaj   +1 more source

Downscaling approach for analysis and forecasting of meteorological parameters and identification of different drought years

Journal of Water and Climate Change, 2022
Natural disasters related to water resources as a result of climate change are becoming a major concern for the entire world. The majority of people in India work in agriculture.
Gautam Zadafiya, Chirag Pravinbhai Ladavia, Haresh Gandhi   +2 more
doaj   +1 more source

The Effect of Statistical Downscaling on the Weighting of Multi-Model Ensembles of Precipitation

Climate, 2020
Recently, assessments of global climate model (GCM) ensembles have transitioned from using unweighted means to weighted means designed to account for skill and interdependence among models.
A. Wootten, E. Massoud, A. Sengupta, D. Waliser, Huikyo Lee   +4 more
semanticscholar   +1 more source

Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities

, 2019
We propose a probabilistic model for refining coarse-grained spatial data by utilizing auxiliary spatial data sets. Existing methods require that the spatial granularities of the auxiliary data sets are the same as the desired granularity of target data.
Iwata, Tomoharu, Kurashima, Takeshi, Okawa, Maya, Tanaka, Toshiyuki, Tanaka, Yusuke, Toda, Hiroyuki   +5 more
core   +1 more source

Uncertainty in projections of streamflow changes due to climate change in California [PDF]

, 2005
Understanding the uncertainty in the projected impacts of climate change on hydrology will help decision-makers interpret the confidence in different projected future hydrologic impacts.
Duffy, Philip B., Maurer, Edwin P.
core   +2 more sources

Empirical‐statistical downscaling in climate modeling [PDF]

Eos, Transactions American Geophysical Union, 2004
Research into possible impacts of a climate change requires descriptions of local and regional climate. For instance, the local and regional aspect of a climate change is stressed in the U.S. Strategic Plan for the Climate Change Science Program (CCSP) (http://www.climate‐science.gov/Library/stratplan2003/default.htm).
openaire   +1 more source

PROTAC‑Mediated HMGCR Depletion Reprograms Lipid Metabolism in Breast Cancer to Potentiate Photoimmunotherapy via Ferroptosis

Advanced Science, EarlyView.
This work introduces a study that identifies HMGCR as a novel target in TNBC and develops a light‐gated PROTAC nanomedicine. Upon irradiation, this agent selectively degrades HMGCR, reprogramming lipid metabolism to induce ferroptosis and potent antitumor immunity, thereby significantly enhancing photoimmunotherapy efficacy.
Tong Su, Guang Li, Yudong Guan, Qi Tian, Youzhi Qi, Yanqiu Zhang, Wenqian Wei, Xinxin Duan, Jiaxin Rui, Hongyan Zhu, Zengping Lin, Changchuan Xie, Zheni Xu, Yaying Wu, Xin Peng, Zhenjie Wang, Kun Chen, Xiaoyan Xin, Bing Zhang   +18 more
wiley   +1 more source

CliGAN: A Structurally Sensitive Convolutional Neural Network Model for Statistical Downscaling of Precipitation from Multi-Model Ensembles

Water, 2020
Despite numerous studies in statistical downscaling methodologies, there remains a lack of methods that can downscale from precipitation modeled in global climate models to regional level high resolution gridded precipitation.
C. Chaudhuri, Colin Robertson
semanticscholar   +1 more source