Quality assessment of heterogeneous surface radiation network data
The DWD national radiation measurement network comprises 82 automatic sites, 29 manned sites with shaded and unshaded pyranometer and the BSRN station at Lindenberg. The quality assessment routinely applied takes into account the basic astronomical and empirical considerations as well as some interd...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-04-01
|
| Series: | Advances in Science and Research |
| Online Access: | http://www.adv-sci-res.net/8/93/2012/asr-8-93-2012.pdf |
| _version_ | 1811196763075248128 |
|---|---|
| author | R. Becker K. Behrens |
| author_facet | R. Becker K. Behrens |
| author_sort | R. Becker |
| collection | DOAJ |
| description | The DWD national radiation measurement network comprises 82
automatic sites, 29 manned sites with shaded and unshaded pyranometer and the
BSRN station at Lindenberg. The quality assessment routinely applied takes
into account the basic astronomical and empirical considerations as well as
some interdependencies like total to diffuse flux relation and cross checking
with sunshine duration.
<br><br>
A more advanced quality assessment approach attempts to routinely utilise
timeseries of clear sky radiative transfer simulations for every site. For
that purpose a link to cloud coverage obtained from Meteosat second
generation geostationary satellite data, highly resolved in time and space,
was established. There is a predefined calibration cycle of 30 month for
automatic stations. Data analysis on this timescale allows for the detection
of sensor degradation, wrong calibration or configuration and other possible
local disturbances. Furthermore using satellite cloud mask enables the
identification of larger clear sky regions characterized by similar
atmospheric conditions. Thus, in a regionalization step correction or
recalibration of moderate quality data to a higher level can be considered.
<br><br>
The paper provides an overview of DWD surface radiation network and the
current activities to improve automatic quality assessment using remotely
sensed data and clear sky modeling for the upgrading of radiation data. |
| first_indexed | 2024-04-12T01:04:28Z |
| format | Article |
| id | doaj.art-651d1188c3d043138c486691c9199412 |
| institution | Directory Open Access Journal |
| issn | 1992-0628 1992-0636 |
| language | English |
| last_indexed | 2024-04-12T01:04:28Z |
| publishDate | 2012-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Advances in Science and Research |
| spelling | doaj.art-651d1188c3d043138c486691c91994122022-12-22T03:54:18ZengCopernicus PublicationsAdvances in Science and Research1992-06281992-06362012-04-018939710.5194/asr-8-93-2012Quality assessment of heterogeneous surface radiation network dataR. Becker0K. Behrens1Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg/Mark, Am Observatorium 12, 15848 Tauche, GermanyDeutscher Wetterdienst, Meteorologisches Observatorium Lindenberg/Mark, Am Observatorium 12, 15848 Tauche, GermanyThe DWD national radiation measurement network comprises 82 automatic sites, 29 manned sites with shaded and unshaded pyranometer and the BSRN station at Lindenberg. The quality assessment routinely applied takes into account the basic astronomical and empirical considerations as well as some interdependencies like total to diffuse flux relation and cross checking with sunshine duration. <br><br> A more advanced quality assessment approach attempts to routinely utilise timeseries of clear sky radiative transfer simulations for every site. For that purpose a link to cloud coverage obtained from Meteosat second generation geostationary satellite data, highly resolved in time and space, was established. There is a predefined calibration cycle of 30 month for automatic stations. Data analysis on this timescale allows for the detection of sensor degradation, wrong calibration or configuration and other possible local disturbances. Furthermore using satellite cloud mask enables the identification of larger clear sky regions characterized by similar atmospheric conditions. Thus, in a regionalization step correction or recalibration of moderate quality data to a higher level can be considered. <br><br> The paper provides an overview of DWD surface radiation network and the current activities to improve automatic quality assessment using remotely sensed data and clear sky modeling for the upgrading of radiation data.http://www.adv-sci-res.net/8/93/2012/asr-8-93-2012.pdf |
| spellingShingle | R. Becker K. Behrens Quality assessment of heterogeneous surface radiation network data Advances in Science and Research |
| title | Quality assessment of heterogeneous surface radiation network data |
| title_full | Quality assessment of heterogeneous surface radiation network data |
| title_fullStr | Quality assessment of heterogeneous surface radiation network data |
| title_full_unstemmed | Quality assessment of heterogeneous surface radiation network data |
| title_short | Quality assessment of heterogeneous surface radiation network data |
| title_sort | quality assessment of heterogeneous surface radiation network data |
| url | http://www.adv-sci-res.net/8/93/2012/asr-8-93-2012.pdf |
| work_keys_str_mv | AT rbecker qualityassessmentofheterogeneoussurfaceradiationnetworkdata AT kbehrens qualityassessmentofheterogeneoussurfaceradiationnetworkdata |