Estimating the potential impact of the <i>EPS‐Sterna</i> satellite constellation in regional numerical weather prediction

Abstract The European Space Agency (ESA) launched the Arctic Weather Satellite ( AWS ) into a sun‐synchronous low Earth orbit in August 2024. The purpose of the launch is to demonstrate the feasibility of new low‐cost satellite technology in provision of continuous microwave sounding data for the use in numerical weather prediction (NWP) and nowcasting applications. AWS is intended as a predecessor of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Polar System – Sterna ( EPS‐Sterna ), which is a small‐satellite microwave‐sounding constellation that EUMETSAT envisions as one of its future operational programmes. Planned to operate from 2029 to the 2040s, EPS‐Sterna would maintain a constellation of six satellites in orbits complementary to the baseline polar satellites of EUMETSAT, the National Oceanic and Atmospheric Administration (NOAA), and the Chinese Meteorological Administration (CMA). We present an estimate of the potential forecast impact that can be expected from the assimilation of EPS‐Sterna microwave radiance data into regional NWP systems at high northern latitudes. The estimate is based on running state‐of‐the‐art limited‐area NWP systems and quantifying the impact obtained from the heritage microwave sounders of EUMETSAT, NOAA, and CMA. The results indicate that the expected forecast impact will be greater in winter than in summer and that the greatest benefit will be in the forecast of humidity‐related parameters near the surface. In terms of the reduction in root‐mean‐squared forecast error, the impact expectation at short‐range forecast lead times (up to 24 hours) is up to 5%–10% in humidity and cloudiness and up to 1%–2% in temperature.

Authors

Institutions

Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2026-02-26
DOI
https://doi.org/10.1002/qj.70149
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating the potential impact of the EPS‐Sterna satellite constellation in regional numerical weather prediction

Adam Dybbroe, Reima Eresmaa, Per Dahlgren, Susanna Hagelin et al.
Quarterly Journal of the Royal Meteorological Society
Meteorological Phenomena and Simulations
article

Estimating the potential impact of the EPS‐Sterna satellite constellation in regional numerical weather prediction

Adam Dybbroe, Reima Eresmaa, Per Dahlgren, Susanna Hagelin, David Schönach
article en

Abstract

Abstract The European Space Agency (ESA) launched the Arctic Weather Satellite ( AWS ) into a sun‐synchronous low Earth orbit in August 2024. The purpose of the launch is to demonstrate the feasibility of new low‐cost satellite technology in provision of continuous microwave sounding data for the use in numerical weather prediction (NWP) and nowcasting applications. AWS is intended as a predecessor of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Polar System – Sterna ( EPS‐Sterna ), which is a small‐satellite microwave‐sounding constellation that EUMETSAT envisions as one of its future operational programmes. Planned to operate from 2029 to the 2040s, EPS‐Sterna would maintain a constellation of six satellites in orbits complementary to the baseline polar satellites of EUMETSAT, the National Oceanic and Atmospheric Administration (NOAA), and the Chinese Meteorological Administration (CMA). We present an estimate of the potential forecast impact that can be expected from the assimilation of EPS‐Sterna microwave radiance data into regional NWP systems at high northern latitudes. The estimate is based on running state‐of‐the‐art limited‐area NWP systems and quantifying the impact obtained from the heritage microwave sounders of EUMETSAT, NOAA, and CMA. The results indicate that the expected forecast impact will be greater in winter than in summer and that the greatest benefit will be in the forecast of humidity‐related parameters near the surface. In terms of the reduction in root‐mean‐squared forecast error, the impact expectation at short‐range forecast lead times (up to 24 hours) is up to 5%–10% in humidity and cloudiness and up to 1%–2% in temperature.

Quarterly Journal of the Royal Meteorological Society
Finnish Meteorological Institute (FI), Swedish Meteorological and Hydrological Institute (SE), Norwegian Meteorological Institute (NO)
Openalex Percentile: Top 50%
Meteorological Phenomena and Simulations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.