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Mesoscale wind measurements using recalibrated ERS SAR images
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| Zeitschriftentitel: | Journal of Geophysical Research: Oceans |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Journal of Geophysical Research: Oceans, 103, 1998, C4, S. 7847-7856 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Geophysical Union (AGU)
|
| Schlagwörter: |
| author_facet |
Lehner, S. Horstmann, J. Koch, W. Rosenthal, W. Lehner, S. Horstmann, J. Koch, W. Rosenthal, W. |
|---|---|
| author |
Lehner, S. Horstmann, J. Koch, W. Rosenthal, W. |
| spellingShingle |
Lehner, S. Horstmann, J. Koch, W. Rosenthal, W. Journal of Geophysical Research: Oceans Mesoscale wind measurements using recalibrated ERS SAR images Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| author_sort |
lehner, s. |
| spelling |
Lehner, S. Horstmann, J. Koch, W. Rosenthal, W. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/97jc02726 <jats:p>The precision images (PRI) of the synthetic aperture radars (SAR) on board the European Remote Sensing Satellites ERS‐1 and ERS‐2 are used to derive mesoscale wind fields over the ocean. For calculation of the wind speed the C‐band model (CMOD4) is used, which was originally developed by <jats:italic>Stoffelen and Anderson</jats:italic> [1993] for the European Space Agency (ESA) to derive wind fields from measurements of the wind scatterometer (SCAT). In the case of the ERS‐1/2 SAR the CMOD4 is used to compute the wind speed from the normalized radar backscatter cross section (NRCS) and the incidence angle of the radar beam, both computed from the SAR.PRI data. The third input variable is the wind direction, which is estimated from the wind streaks in the images or from ground truth measurements. The SAR data are affected by a power loss, caused by saturation of the analog to digital converter (ADC) of the SAR. Therefore the images have to be recalibrated. Errors in the derived wind speed are mainly due to ADC saturation and uncertainties of the input wind direction. These errors are estimated for various wind conditions. Mesoscale wind fields computed from ERS‐1/2 SAR.PRI images taken between the Shetland Islands and the west coast of Norway are compared to ground truth measurements and modeled wind fields from the German weather service (DWD). Wind fields of the nonhydrostatic mesoscale model Geesthacht simulation model of the atmosphere (GESIMA) are compared to the derived wind field of the ERS‐1 SAR.PRI image at the island Rügen in the Baltic Sea.</jats:p> Mesoscale wind measurements using recalibrated ERS SAR images Journal of Geophysical Research: Oceans |
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Geologie und Paläontologie Geographie Chemie und Pharmazie Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft Biologie Allgemeine Naturwissenschaft Physik Technik |
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American Geophysical Union (AGU) |
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Journal of Geophysical Research: Oceans |
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| title |
Mesoscale wind measurements using recalibrated ERS SAR images |
| title_unstemmed |
Mesoscale wind measurements using recalibrated ERS SAR images |
| title_full |
Mesoscale wind measurements using recalibrated ERS SAR images |
| title_fullStr |
Mesoscale wind measurements using recalibrated ERS SAR images |
| title_full_unstemmed |
Mesoscale wind measurements using recalibrated ERS SAR images |
| title_short |
Mesoscale wind measurements using recalibrated ERS SAR images |
| title_sort |
mesoscale wind measurements using recalibrated ers sar images |
| topic |
Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| url |
http://dx.doi.org/10.1029/97jc02726 |
| publishDate |
1998 |
| physical |
7847-7856 |
| description |
<jats:p>The precision images (PRI) of the synthetic aperture radars (SAR) on board the European Remote Sensing Satellites ERS‐1 and ERS‐2 are used to derive mesoscale wind fields over the ocean. For calculation of the wind speed the C‐band model (CMOD4) is used, which was originally developed by <jats:italic>Stoffelen and Anderson</jats:italic> [1993] for the European Space Agency (ESA) to derive wind fields from measurements of the wind scatterometer (SCAT). In the case of the ERS‐1/2 SAR the CMOD4 is used to compute the wind speed from the normalized radar backscatter cross section (NRCS) and the incidence angle of the radar beam, both computed from the SAR.PRI data. The third input variable is the wind direction, which is estimated from the wind streaks in the images or from ground truth measurements. The SAR data are affected by a power loss, caused by saturation of the analog to digital converter (ADC) of the SAR. Therefore the images have to be recalibrated. Errors in the derived wind speed are mainly due to ADC saturation and uncertainties of the input wind direction. These errors are estimated for various wind conditions. Mesoscale wind fields computed from ERS‐1/2 SAR.PRI images taken between the Shetland Islands and the west coast of Norway are compared to ground truth measurements and modeled wind fields from the German weather service (DWD). Wind fields of the nonhydrostatic mesoscale model Geesthacht simulation model of the atmosphere (GESIMA) are compared to the derived wind field of the ERS‐1 SAR.PRI image at the island Rügen in the Baltic Sea.</jats:p> |
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| author | Lehner, S., Horstmann, J., Koch, W., Rosenthal, W. |
| author_facet | Lehner, S., Horstmann, J., Koch, W., Rosenthal, W., Lehner, S., Horstmann, J., Koch, W., Rosenthal, W. |
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| description | <jats:p>The precision images (PRI) of the synthetic aperture radars (SAR) on board the European Remote Sensing Satellites ERS‐1 and ERS‐2 are used to derive mesoscale wind fields over the ocean. For calculation of the wind speed the C‐band model (CMOD4) is used, which was originally developed by <jats:italic>Stoffelen and Anderson</jats:italic> [1993] for the European Space Agency (ESA) to derive wind fields from measurements of the wind scatterometer (SCAT). In the case of the ERS‐1/2 SAR the CMOD4 is used to compute the wind speed from the normalized radar backscatter cross section (NRCS) and the incidence angle of the radar beam, both computed from the SAR.PRI data. The third input variable is the wind direction, which is estimated from the wind streaks in the images or from ground truth measurements. The SAR data are affected by a power loss, caused by saturation of the analog to digital converter (ADC) of the SAR. Therefore the images have to be recalibrated. Errors in the derived wind speed are mainly due to ADC saturation and uncertainties of the input wind direction. These errors are estimated for various wind conditions. Mesoscale wind fields computed from ERS‐1/2 SAR.PRI images taken between the Shetland Islands and the west coast of Norway are compared to ground truth measurements and modeled wind fields from the German weather service (DWD). Wind fields of the nonhydrostatic mesoscale model Geesthacht simulation model of the atmosphere (GESIMA) are compared to the derived wind field of the ERS‐1 SAR.PRI image at the island Rügen in the Baltic Sea.</jats:p> |
| doi_str_mv | 10.1029/97jc02726 |
| facet_avail | Online, Free |
| finc_class_facet | Geologie und Paläontologie, Geographie, Chemie und Pharmazie, Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft, Biologie, Allgemeine Naturwissenschaft, Physik, Technik |
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| imprint | American Geophysical Union (AGU), 1998 |
| imprint_str_mv | American Geophysical Union (AGU), 1998 |
| institution | DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1 |
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| last_indexed | 2024-03-01T16:09:44.522Z |
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| physical | 7847-7856 |
| publishDate | 1998 |
| publishDateSort | 1998 |
| publisher | American Geophysical Union (AGU) |
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| series | Journal of Geophysical Research: Oceans |
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| spelling | Lehner, S. Horstmann, J. Koch, W. Rosenthal, W. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/97jc02726 <jats:p>The precision images (PRI) of the synthetic aperture radars (SAR) on board the European Remote Sensing Satellites ERS‐1 and ERS‐2 are used to derive mesoscale wind fields over the ocean. For calculation of the wind speed the C‐band model (CMOD4) is used, which was originally developed by <jats:italic>Stoffelen and Anderson</jats:italic> [1993] for the European Space Agency (ESA) to derive wind fields from measurements of the wind scatterometer (SCAT). In the case of the ERS‐1/2 SAR the CMOD4 is used to compute the wind speed from the normalized radar backscatter cross section (NRCS) and the incidence angle of the radar beam, both computed from the SAR.PRI data. The third input variable is the wind direction, which is estimated from the wind streaks in the images or from ground truth measurements. The SAR data are affected by a power loss, caused by saturation of the analog to digital converter (ADC) of the SAR. Therefore the images have to be recalibrated. Errors in the derived wind speed are mainly due to ADC saturation and uncertainties of the input wind direction. These errors are estimated for various wind conditions. Mesoscale wind fields computed from ERS‐1/2 SAR.PRI images taken between the Shetland Islands and the west coast of Norway are compared to ground truth measurements and modeled wind fields from the German weather service (DWD). Wind fields of the nonhydrostatic mesoscale model Geesthacht simulation model of the atmosphere (GESIMA) are compared to the derived wind field of the ERS‐1 SAR.PRI image at the island Rügen in the Baltic Sea.</jats:p> Mesoscale wind measurements using recalibrated ERS SAR images Journal of Geophysical Research: Oceans |
| spellingShingle | Lehner, S., Horstmann, J., Koch, W., Rosenthal, W., Journal of Geophysical Research: Oceans, Mesoscale wind measurements using recalibrated ERS SAR images, Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| title | Mesoscale wind measurements using recalibrated ERS SAR images |
| title_full | Mesoscale wind measurements using recalibrated ERS SAR images |
| title_fullStr | Mesoscale wind measurements using recalibrated ERS SAR images |
| title_full_unstemmed | Mesoscale wind measurements using recalibrated ERS SAR images |
| title_short | Mesoscale wind measurements using recalibrated ERS SAR images |
| title_sort | mesoscale wind measurements using recalibrated ers sar images |
| title_unstemmed | Mesoscale wind measurements using recalibrated ERS SAR images |
| topic | Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| url | http://dx.doi.org/10.1029/97jc02726 |