Results 51 to 60 of about 1,413,675 (352)

Predicting wind energy generation with recurrent neural networks [PDF]

, 2018
Decarbonizing the energy supply requires extensive use of renewable generation. Their intermittent nature requires to obtain accurate forecasts of future generation, at short, mid and long term.
Béjar Alonso, Javier, Cortés García, Claudio Ulises, Manero Font, Jaume   +2 more
core   +1 more source

Probabilistic wind speed forecasting in Hungary [PDF]

, 2013
Prediction of various weather quantities is mostly based on deterministic numerical weather forecasting models. Multiple runs of these models with different initial conditions result ensembles of forecasts which are applied for estimating the ...
Baran, Sándor, Horányi, András, Nemoda, Dóra   +2 more
core   +2 more sources

The application of predefined weather patterns over India within probabilistic medium‐range forecasting tools for high‐impact weather

Meteorological Applications, 2022
A method is presented for deriving probabilistic medium‐range (1‐to‐2‐week) weather pattern forecasts for India. This method uses an existing set of 30 objectively derived daily weather patterns, which provide climatological representations for unique ...
Robert Neal, Galina Guentchev, T Arulalan, Joanne Robbins, Ric Crocker, Ashis Mitra, A. Jayakumar   +6 more
doaj   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Impact of Assimilation of SMAP Satellite Soil Moisture Retrievals Into a High‐Resolution Regional Land Data Assimilation System Over India

Meteorological Applications
Soil moisture (SM) is one of the crucial variables of the earth system that needs to be accurately initialized in a numerical weather model for accurate weather predictions.
M. V. S. Ramarao, Ashish Routray, Devajyoti Dutta, Srinivas Desamsetti, John P. George, V. S. Prasad   +5 more
doaj   +1 more source

Novel evaluation of sub‐seasonal precipitation ensemble forecasts for identifying high‐impact weather events associated with the Indian monsoon

Meteorological Applications, 2023
We assess the skill of the fully coupled lagged ensemble forecasts from GloSea5‐GC2, for the sub‐seasonal to seasonal (S2S) timescale up to 4 weeks, with the aim of understanding how these forecasts might be used in a Ready‐Set‐Go style decision‐making ...
Seshagiri Rao Kolusu, Marion Mittermaier, Joanne Robbins, Raghavendra Ashrit, Ashis K. Mitra   +4 more
doaj   +1 more source

Weather forecasting for weather derivatives : [revised version: January 2, 2004] [PDF]

, 2004
We take a simple time-series approach to modeling and forecasting daily average temperature in U.S. cities, and we inquire systematically as to whether it may prove useful from the vantage point of participants in the weather derivatives market.
Campbell, Sean D., Diebold, Francis X.
core  

Advances and prospects of deep learning for medium-range extreme weather forecasting

Geoscientific Model Development
. In recent years, deep learning models have rapidly emerged as a stand-alone alternative to physics-based numerical models for medium-range weather forecasting.
Leonardo Olivetti, Gabriele Messori
semanticscholar   +1 more source

Deep learning-based effective fine-grained weather forecasting model

Pattern Analysis and Applications, 2020
It is well-known that numerical weather prediction (NWP) models require considerable computer power to solve complex mathematical equations to obtain a forecast based on current weather conditions.
Pradeep Ruwan Padmasiri Galbokka Hewage, M. Trovati, E. Pereira, Ardhendu Behera   +3 more
semanticscholar   +1 more source

Microbial exopolysaccharide production by polyextremophiles in the adaptation to multiple extremes

FEBS Letters, EarlyView.
Polyextremophiles are microorganisms that endure multiple extreme conditions by various adaptation strategies that also include the production of exopolysaccharides (EPSs). This review provides an integrated perspective on EPS biosynthesis, function, and regulation in these organisms, emphasizing their critical role in survival and highlighting their ...
Tracey M Gloster, Ebru Toksoy Öner
wiley   +1 more source