Fifty years of research on the Madden‐Julian Oscillation: Recent progress, challenges, and perspectives

X Jiang, ÁF Adames, D Kim… - Journal of …, 2020 - Wiley Online Library
Since its discovery in the early 1970s, the crucial role of the Madden‐Julian Oscillation
(MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate …

The future of forecasting for renewable energy

C Sweeney, RJ Bessa, J Browell… - … Reviews: Energy and …, 2020 - Wiley Online Library
Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …

The EC-earth3 Earth system model for the climate model intercomparison project 6

R Döscher, M Acosta, A Alessandri… - Geoscientific Model …, 2021 - gmd.copernicus.org
The Earth System Model EC-Earth3 for contributions to CMIP6 is documented here, with its
flexible coupling framework, major model configurations, a methodology for ensuring the …

The ERA5 global reanalysis

H Hersbach, B Bell, P Berrisford… - Quarterly Journal of …, 2020 - Wiley Online Library
Abstract Within the Copernicus Climate Change Service (C3S), ECMWF is producing the
ERA5 reanalysis which, once completed, will embody a detailed record of the global …

[PDF][PDF] A description of the advanced research WRF version 4

WC Skamarock, JB Klemp… - … tech. note ncar …, 2019 - pfigshare-u-files.s3.amazonaws.com
The Weather Research and Forecasting (WRF) Model is an atmospheric modeling system
designed for both research and numerical weather prediction. WRF is an open-source …

[HTML][HTML] SEAS5: the new ECMWF seasonal forecast system

SJ Johnson, TN Stockdale, L Ferranti… - Geoscientific Model …, 2019 - gmd.copernicus.org
In this paper we describe SEAS5, ECMWF's fifth generation seasonal forecast system, which
became operational in November 2017. Compared to its predecessor, System 4, SEAS5 is a …

Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS

HE Beck, M Pan, T Roy, GP Weedon… - Hydrology and Earth …, 2019 - hess.copernicus.org
New precipitation (P) datasets are released regularly, following innovations in weather
forecasting models, satellite retrieval methods, and multi-source merging techniques. Using …

Machine learning for model error inference and correction

M Bonavita, P Laloyaux - Journal of Advances in Modeling …, 2020 - Wiley Online Library
Abstract Model error is one of the main obstacles to improved accuracy and reliability in
numerical weather prediction (NWP) and climate prediction conducted with state‐of‐the‐art …

[HTML][HTML] Prediction of the Madden–Julian oscillation: A review

H Kim, F Vitart, DE Waliser - Journal of Climate, 2018 - journals.ametsoc.org
Prediction of the Madden–Julian Oscillation: A Review in: Journal of Climate Volume 31
Issue 23 (2018) Jump to Content Logo Logo Logo Logo Logo Logo JOURNALS Artificial …

Exchange processes in the atmospheric boundary layer over mountainous terrain

S Serafin, B Adler, J Cuxart, SFJ De Wekker, A Gohm… - Atmosphere, 2018 - mdpi.com
The exchange of heat, momentum, and mass in the atmosphere over mountainous terrain is
controlled by synoptic-scale dynamics, thermally driven mesoscale circulations, and …