Combining commercial microwave link and rain gauge observations to estimate countrywide precipitation: a stochastic reconstruction and pattern analysis approach
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Water Resources Research, 58, 10, S. e2022WR032563-
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2022
- Ereignis
-
Veröffentlichung
- (wer)
-
American Geophysical Union (AGU)
- (wann)
-
2022
- Urheber
- DOI
-
10.1029/2022wr032563
- URN
-
urn:nbn:de:bvb:384-opus4-988687
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:46 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Blettner, Nico
- Chwala, Christian
- Haese, Barbara
- Hörning, Sebastian
- Kunstmann, Harald
- Universität Augsburg
- American Geophysical Union (AGU)
Entstanden
- 2022
Ähnliche Objekte (12)
Rain event detection in commercial microwave link attenuation data using convolutional neural networks
Commercial microwave link networks for rainfall observation: assessment of the current status and future challenges
Joint atmospheric-terrestrial water cycle and land-atmosphere interactions in complex terrain: fully coupled modeling for the Heihe River Basin, China
Heat wave characteristics: evaluation of regional climate model performances for Germany
Stochastic geostatistical simulation of extreme daily precipitation fields
Precipitation of mainland India: copula‐based bias‐corrected daily CORDEX climate data for both mean and extreme values
Bias correction of daily precipitation for ungauged locations using geostatistical approaches: a case study for the CORDEX‐Africa ensemble
Transboundary rainfall estimation using commercial microwave links
Rain event detection in commercial microwave link attenuation data using convolutional neural networks
Is the soil moisture precipitation feedback enhanced by heterogeneity and dry soils? A comparative study
Deep learning based sub-seasonal precipitation and streamflow forecasting over the source region of the Yangtze River
Stochastic simulation of daily precipitation extremes in West Africa [Abstract]
Rain event detection in commercial microwave link attenuation data using convolutional neural networks
Commercial microwave link networks for rainfall observation: assessment of the current status and future challenges
Joint atmospheric-terrestrial water cycle and land-atmosphere interactions in complex terrain: fully coupled modeling for the Heihe River Basin, China
Heat wave characteristics: evaluation of regional climate model performances for Germany
Stochastic geostatistical simulation of extreme daily precipitation fields
Precipitation of mainland India: copula‐based bias‐corrected daily CORDEX climate data for both mean and extreme values
Bias correction of daily precipitation for ungauged locations using geostatistical approaches: a case study for the CORDEX‐Africa ensemble
Transboundary rainfall estimation using commercial microwave links
Rain event detection in commercial microwave link attenuation data using convolutional neural networks
Is the soil moisture precipitation feedback enhanced by heterogeneity and dry soils? A comparative study
Deep learning based sub-seasonal precipitation and streamflow forecasting over the source region of the Yangtze River
Stochastic simulation of daily precipitation extremes in West Africa [Abstract]
Rain event detection in commercial microwave link attenuation data using convolutional neural networks
Commercial microwave link networks for rainfall observation: assessment of the current status and future challenges
Joint atmospheric-terrestrial water cycle and land-atmosphere interactions in complex terrain: fully coupled modeling for the Heihe River Basin, China
Heat wave characteristics: evaluation of regional climate model performances for Germany
Stochastic geostatistical simulation of extreme daily precipitation fields
Precipitation of mainland India: copula‐based bias‐corrected daily CORDEX climate data for both mean and extreme values
Bias correction of daily precipitation for ungauged locations using geostatistical approaches: a case study for the CORDEX‐Africa ensemble
Transboundary rainfall estimation using commercial microwave links
Rain event detection in commercial microwave link attenuation data using convolutional neural networks
Is the soil moisture precipitation feedback enhanced by heterogeneity and dry soils? A comparative study
Deep learning based sub-seasonal precipitation and streamflow forecasting over the source region of the Yangtze River