Results 21 to 30 of about 32,789 (349)

Mean radiant temperature from global-scale numerical weather prediction models [PDF]

open access: yes, 2020
In human biometeorology, the estimation of mean radiant temperature (MRT) is generally considered challenging. This work presents a general framework to compute the MRT at the global scale for a human subject placed in an outdoor environment and ...
Di Napoli, Claudia   +2 more
core   +1 more source

Reconstruction of Multidecadal Country-Aggregated Hydro Power Generation in Europe Based on a Random Forest Model [PDF]

open access: yes, 2020
Hydro power can provide a source of dispatchable low-carbon electricity and a storage solution in a climate-dependent energy mix with high shares of wind and solar production.
De Felice, Matteo   +3 more
core   +2 more sources

GPM-IMERG product: a new way to assess the climate change impact on water resources in a Moroccan semi-arid basin

open access: yesJournal of Water and Climate Change, 2022
Due to the lack of observed data, climate change impact studies are difficult to conduct. This paper evaluates the effect of climate change on water resources, in a Moroccan basin, using the Final Integrated Multi-satellitE Retrievals for Global ...
Tarik Saouabe   +4 more
doaj   +1 more source

Research on bias analysis and correction of temperature and humidity data with ground-based microwave radiometer

open access: yes暴雨灾害, 2023
In order to comprehensively evaluate the temperature and humidity detection performance of the ground microwave radiometer (referred to as radiometer, the same below) and improve the accuracy of temperature and relative humidity profiles, by using the ...
Mengying WU   +4 more
doaj   +1 more source

ERA5-based global meteorological wildfire danger maps

open access: yesScientific Data, 2020
AbstractForest fires are an integral part of the natural Earth system dynamics, however they are becoming more devastating and less predictable as anthropogenic climate change exacerbates their impacts. In order to advance fire science, fire danger reanalysis products can be used as proxy for fire weather observations with the advantage of being ...
Vitolo, Claudia   +6 more
openaire   +2 more sources

Analogue methods and ERA5: Benefits and pitfalls [PDF]

open access: yesInternational Journal of Climatology, 2021
AbstractPerfect prognosis statistical downscaling relies on the statistical relationships established using observational data for predictands and predictors. Predictors are often retrieved from reanalyses, which are considered pseudo‐observations. The impact of the choice of a reanalysis dataset on the performance of the downscaling method is usually ...
openaire   +2 more sources

Radiosonde comparison of ERA5 and ERA-Interim reanalysis datasets over tropical oceans

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2021
After the release of the ERA-Interim reanalysis, many changes have been made to the Integrated Forecasting System model and data-assimilation system, resulting in an improved reanalysis, ERA5.
Meri Virman   +4 more
doaj   +1 more source

Global estimations of wind energy potential considering seasonal air density changes [PDF]

open access: yes, 2019
The literature typically considers constant annual average air density when computing the wind energy potential of a given location. In this work, the recent reanalysis ERA5 is used to obtain global seasonal estimates of wind energy production that ...
Carreno-Madinabeitia, Sheila   +4 more
core   +5 more sources

Identifying lightning processes in ERA5 soundings with deep learning

open access: yesGeoscientific Model Development, 2023
Abstract. Atmospheric environments favorable for lightning and convection are commonly represented by proxies or parameterizations based on expert knowledge such as convective available potential energy (CAPE), wind shear, charge separation, or combinations thereof.
Tobias Hell   +3 more
openaire   +2 more sources

Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales [PDF]

open access: yes, 2020
Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically modelled
Degrauwe, Daan   +3 more
core   +1 more source

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