Results 61 to 70 of about 3,497,081 (365)
Effects of random forest modeling decisions on biogeochemical time series predictions
Random forests (RF) are an increasingly popular machine learning approach used to model biogeochemical processes in the Earth system. While RF models are robust to many assumptions that complicate deterministic models, there are several important ...
P. Regier +3 more
semanticscholar +1 more source
Applying self-supervised learning for semantic cloud segmentation of all-sky images
. Semantic segmentation of ground-based all-sky images (ASIs) can provide high-resolution cloud coverage information of distinct cloud types, applicable for meteorology, climatology and solar energy-related applications. Since the shape and appearance of
Yann Fabel +8 more
semanticscholar +1 more source
The properties and distributions of precipitation are often determined by specific synoptic patterns. Hence, the objective identification of corresponding impact patterns is an important field of research for improving rain forecasting.
Linguo Jing +5 more
doaj +1 more source
Aerosol's optical and physical characteristics and direct radiative forcing during a shamal dust storm, a case study [PDF]
Dust aerosols are analyzed for their optical and physical properties during an episode of a dust storm that blew over Kuwait on 26 March 2003 when the military Operation Iraqi Freedom was in full swing.
T. M. Saeed, H. Al-Dashti, C. Spyrou
doaj +1 more source
Adaptive neuro fuzzy inference system for predicting sub-daily Zenith Wet Delay
In recent years, the focus of tropospheric studies has evolved to GNSS meteorology and weather forecasting. The Zenith Wet Delay (ZWD), which might be assembled to the Integrated Water Vapour (IWV), is an essential component of the tropospheric delay ...
Jareer Mohammed
doaj +1 more source
The successful transition of research to operations (R2O) and operations to research (O2R) requires, above all, interaction between the two communities.
A. Pulkkinen +29 more
core +1 more source
Development of Contents on the Marine Meteorology Service by Meteorology and Climate Big Data
Currently, there is increasing demand for weather information, however, providing meteorology and climate information is limited. In order to improve them, supporting the meteorology and climate big data platform use and training the meteorology and ...
H. Yoon
semanticscholar +1 more source
Generating spatiotemporally continuous land surface temperature (LST) data is in great demand for hydrology, meteorology, ecology, environmental studies, etc.
Weiwei Tan +3 more
semanticscholar +1 more source
The Tarim Basin in the western part of Northwest China (NWC) is the largest inland basin in the world and one of the most arid regions in the middle latitudes.
Man Li +3 more
doaj +1 more source
Rainfall Forecast Using Machine Learning with High Spatiotemporal Satellite Imagery Every 10 Minutes
Increasing the accuracy of rainfall forecasts is crucial as an effort to prevent hydrometeorological disasters. Weather changes that can occur suddenly and in a local scope make fast and precise weather forecasts increasingly difficult to inform ...
F. Simanjuntak +4 more
semanticscholar +1 more source

