Spectral Properties of ENVISAT ASAR and QuikSCAT Surface Winds in the North Sea

Karagali, Ioanna; Larsén, Xiaoli Guo; Badger, Merete; Peña, Alfredo; Hasager, Charlotte Bay

doi:10.3390/rs5116096

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…These are attributed to the lack of ability in ERA5 to properly resolve the coastal atmospheric flow phenomena.. From the spatial resolution perspective, it is obvious that SAR resolves the finest spatial detail than other products. From spectral analysis of SAR vs. scatterometer winds, it was found that SAR resolves around 4 km features and scatterometer around 25 km features (Karagali et al, 2013b). The latter is comparable in scale to what the WRF model at 3 km grid spacing resolves, i.e.…”

Section: Comparison Of Offshore Mean Wind Speed Maps At 100m Heightmentioning

confidence: 78%

Europe’s offshore winds assessed from SAR, ASCAT and WRF

Hasager

Hahmann

Ahsbahs

et al. 2019

Preprint

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Abstract. Europe’s offshore wind resource mapping is part of the New European Wind Atlas (NEWA) international consortium effort. This study presents the results of analysis of Synthetic Aperture Radar (SAR) ocean wind maps based on Envisat and Sentinel-1 with a brief description of the wind retrieval process and Advanced SCATterometer (ASCAT) ocean wind maps. The wind statistics at 10m and 100m height using an extrapolation procedure involving simulated long-term stability over oceans is presented for both SAR and ASCAT. Furthermore, the Weather Research and Forecasting (WRF) offshore wind atlas of NEWA is presented. This has 3 km grid resolution with data every 30 minutes during 30 years from 1989 to 2018, while ASCAT has 12.5 km and SAR has 2 km resolution. Offshore mean wind speed maps at 100 m height from ASCAT, SAR, WRF and ERA5 at a European scale are compared. A case study on offshore winds near Crete compares SAR and WRF for flow from north, west and all directions. The paper highlights the ability of the WRF model to simulate the overall European wind climatology and the near coastal winds constrained by the resolution of the coastal topography in the WRF model simulations.

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Section: Comparison Of Offshore Mean Wind Speed Maps At 100m Heightmentioning

confidence: 78%

Europe’s offshore winds assessed from SAR, ASCAT and WRF

Hasager

Hahmann

Ahsbahs

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…With regards to spatial resolution, it is obvious that SAR resolves finer spatial detail than other products. From spectral analysis of SAR vs. scatterometer winds, it was found that SAR resolves around 4 km features, and the scatterometer resolves around 25 km features (Karagali et al, 2013b). The latter is comparable in scale to what the WRF model at 3 km grid spacing resolves, i.e.…”

Section: Comparison Of Offshore Mean Wind Speed Maps At 100 M Heightmentioning

confidence: 83%

Europe's offshore winds assessed with synthetic aperture radar, ASCAT and WRF

et al. 2020

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Abstract. Europe's offshore wind resource mapping is part of the New European Wind Atlas (NEWA) international consortium effort. This study presents the results of analysis of synthetic aperture radar (SAR) ocean wind maps based on Envisat and Sentinel-1 with a brief description of the wind retrieval process and Advanced Scatterometer (ASCAT) ocean wind maps. The wind statistics at 10 and 100 m above mean sea level (a.m.s.l.) height using an extrapolation procedure involving simulated long-term stability over oceans are presented for both SAR and ASCAT. Furthermore, the Weather Research and Forecasting (WRF) offshore wind atlas of NEWA is presented. This has 3 km grid spacing with data every 30 min for 30 years from 1989 to 2018, while ASCAT has 12.5 km and SAR has 2 km grid spacing. Offshore mean wind speed maps at 100 m a.m.s.l. height from ASCAT, SAR, WRF and ERA5 at a European scale are compared. A case study on offshore winds near Crete compares SAR and WRF for flow from the north, west and all directions. The paper highlights the ability of the WRF model to simulate the overall European wind climatology and the near-coastal winds constrained by the resolution of the coastal topography in the WRF model simulations.

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“…The SAR-derived wind maps at 1 × 1 km resolution have much spatial detail. According to [44], the spectral density in Envisat ASAR WSM wind maps is high. Thus, SAR wind fields observe small-scale variability of ocean surface winds.…”

Section: E Discussionmentioning

confidence: 99%

Mapping Offshore Winds Around Iceland Using Satellite Synthetic Aperture Radar and Mesoscale Model Simulations

Hasager

Badger

Nawri

et al. 2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The offshore wind climate in Iceland is examined based on satellite synthetic aperture radar (SAR), coastal meteorological station measurements, and results from two atmospheric model data sets, HARMONIE and NORA10. The offshore winds in Iceland are highly influenced by the rugged coastline. Lee effects, gap flow, coastal barrier jets, and atmospheric gravity waves are not only observed in SAR, but are also modeled well from HARMONIE. Offshore meteorological observations are not available, but wind speed and wind direction measurements from coastal meteorological masts are found to compare well to nearby offshore locations observed by SAR. More than 2500 SAR scenes from the Envisat ASAR wide swath mode are used for wind energy resource estimation. The wind energy potential observed from satellite SAR shows high values above 1000 Wm −2 in coastal regions in the south, east, and west, with lower values in the north. The most promising region for wind energy production is the southwestern coastal region. Index Terms-Offshore resource, polarization ratio (PR), synthetic aperture radar (SAR), wind energy, wind speed. I. INTRODUCTION D UE to the location of Iceland both close to the North Atlantic storm tracks [1] and just east of Greenland, the wind climate of Iceland is both varied and at times extremely harsh. As wind turbines in recent decades have become more robust for applications in extreme climates, the interest of wind energy utilization in Iceland has increased. Mapping the wind Manuscript

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Spectral Properties of ENVISAT ASAR and QuikSCAT Surface Winds in the North Sea

Cited by 11 publications

References 24 publications

Europe’s offshore winds assessed from SAR, ASCAT and WRF

Europe’s offshore winds assessed from SAR, ASCAT and WRF

Europe's offshore winds assessed with synthetic aperture radar, ASCAT and WRF

Mapping Offshore Winds Around Iceland Using Satellite Synthetic Aperture Radar and Mesoscale Model Simulations

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