Eintrag weiter verarbeiten
The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems
Gespeichert in:
| Zeitschriftentitel: | Atmospheric Science Letters |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Atmospheric Science Letters, 14, 2013, 2, S. 61-65 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Trinh, B. N. Thielen‐del Pozo, J. Thirel, G. Trinh, B. N. Thielen‐del Pozo, J. Thirel, G. |
|---|---|
| author |
Trinh, B. N. Thielen‐del Pozo, J. Thirel, G. |
| spellingShingle |
Trinh, B. N. Thielen‐del Pozo, J. Thirel, G. Atmospheric Science Letters The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems Atmospheric Science |
| author_sort |
trinh, b. n. |
| spelling |
Trinh, B. N. Thielen‐del Pozo, J. Thirel, G. 1530-261X 1530-261X Wiley Atmospheric Science http://dx.doi.org/10.1002/asl2.417 <jats:title>Abstract</jats:title><jats:p><jats:bold>Ensemble prediction system (<jats:styled-content style="fixed-case">EPS</jats:styled-content>) meteorological forecasts are increasingly being used as input to hydrological models in order to extend flood‐warning lead‐times and to improve forecasts and the knowledge of their uncertainty. Probabilistic skill scores classically used in meteorology are usually also utilized for assessing the quality of hydrological ensemble forecasts. However, the different river discharge magnitudes can make difficult the interpretation and comparisons of these scores, as it is for the continuous rank probability score (<jats:styled-content style="fixed-case">CRPS</jats:styled-content>). In this letter, a novel ‘Reduction’ <jats:styled-content style="fixed-case">CRPS</jats:styled-content> (<jats:styled-content style="fixed-case">RCRPS</jats:styled-content>), which takes into account the different river discharge magnitudes, is proposed, and its usefulness is exhibited. Copyright © 2013 Royal Meteorological Society</jats:bold></jats:p> The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems Atmospheric Science Letters |
| doi_str_mv |
10.1002/asl2.417 |
| facet_avail |
Online Free |
| finc_class_facet |
Physik |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAwMi9hc2wyLjQxNw |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAwMi9hc2wyLjQxNw |
| institution |
DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 DE-Zi4 DE-Gla1 DE-15 DE-Pl11 DE-Rs1 DE-14 DE-105 DE-Ch1 DE-L229 DE-D275 |
| imprint |
Wiley, 2013 |
| imprint_str_mv |
Wiley, 2013 |
| issn |
1530-261X |
| issn_str_mv |
1530-261X |
| language |
English |
| mega_collection |
Wiley (CrossRef) |
| match_str |
trinh2013thereductioncontinuousrankprobabilityscoreforevaluatingdischargeforecastsfromhydrologicalensemblepredictionsystems |
| publishDateSort |
2013 |
| publisher |
Wiley |
| recordtype |
ai |
| record_format |
ai |
| series |
Atmospheric Science Letters |
| source_id |
49 |
| title |
The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_unstemmed |
The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_full |
The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_fullStr |
The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_full_unstemmed |
The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_short |
The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_sort |
the reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| topic |
Atmospheric Science |
| url |
http://dx.doi.org/10.1002/asl2.417 |
| publishDate |
2013 |
| physical |
61-65 |
| description |
<jats:title>Abstract</jats:title><jats:p><jats:bold>Ensemble prediction system (<jats:styled-content style="fixed-case">EPS</jats:styled-content>) meteorological forecasts are increasingly being used as input to hydrological models in order to extend flood‐warning lead‐times and to improve forecasts and the knowledge of their uncertainty. Probabilistic skill scores classically used in meteorology are usually also utilized for assessing the quality of hydrological ensemble forecasts. However, the different river discharge magnitudes can make difficult the interpretation and comparisons of these scores, as it is for the continuous rank probability score (<jats:styled-content style="fixed-case">CRPS</jats:styled-content>). In this letter, a novel ‘Reduction’ <jats:styled-content style="fixed-case">CRPS</jats:styled-content> (<jats:styled-content style="fixed-case">RCRPS</jats:styled-content>), which takes into account the different river discharge magnitudes, is proposed, and its usefulness is exhibited. Copyright © 2013 Royal Meteorological Society</jats:bold></jats:p> |
| container_issue |
2 |
| container_start_page |
61 |
| container_title |
Atmospheric Science Letters |
| container_volume |
14 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792337216235634702 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T15:12:49.458Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=The+reduction+continuous+rank+probability+score+for+evaluating+discharge+forecasts+from+hydrological+ensemble+prediction+systems&rft.date=2013-04-01&genre=article&issn=1530-261X&volume=14&issue=2&spage=61&epage=65&pages=61-65&jtitle=Atmospheric+Science+Letters&atitle=The+reduction+continuous+rank+probability+score+for+evaluating+discharge+forecasts+from+hydrological+ensemble+prediction+systems&aulast=Thirel&aufirst=G.&rft_id=info%3Adoi%2F10.1002%2Fasl2.417&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792337216235634702 |
| author | Trinh, B. N., Thielen‐del Pozo, J., Thirel, G. |
| author_facet | Trinh, B. N., Thielen‐del Pozo, J., Thirel, G., Trinh, B. N., Thielen‐del Pozo, J., Thirel, G. |
| author_sort | trinh, b. n. |
| container_issue | 2 |
| container_start_page | 61 |
| container_title | Atmospheric Science Letters |
| container_volume | 14 |
| description | <jats:title>Abstract</jats:title><jats:p><jats:bold>Ensemble prediction system (<jats:styled-content style="fixed-case">EPS</jats:styled-content>) meteorological forecasts are increasingly being used as input to hydrological models in order to extend flood‐warning lead‐times and to improve forecasts and the knowledge of their uncertainty. Probabilistic skill scores classically used in meteorology are usually also utilized for assessing the quality of hydrological ensemble forecasts. However, the different river discharge magnitudes can make difficult the interpretation and comparisons of these scores, as it is for the continuous rank probability score (<jats:styled-content style="fixed-case">CRPS</jats:styled-content>). In this letter, a novel ‘Reduction’ <jats:styled-content style="fixed-case">CRPS</jats:styled-content> (<jats:styled-content style="fixed-case">RCRPS</jats:styled-content>), which takes into account the different river discharge magnitudes, is proposed, and its usefulness is exhibited. Copyright © 2013 Royal Meteorological Society</jats:bold></jats:p> |
| doi_str_mv | 10.1002/asl2.417 |
| facet_avail | Online, Free |
| finc_class_facet | Physik |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAwMi9hc2wyLjQxNw |
| imprint | Wiley, 2013 |
| imprint_str_mv | Wiley, 2013 |
| institution | DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105, DE-Ch1, DE-L229, DE-D275 |
| issn | 1530-261X |
| issn_str_mv | 1530-261X |
| language | English |
| last_indexed | 2024-03-01T15:12:49.458Z |
| match_str | trinh2013thereductioncontinuousrankprobabilityscoreforevaluatingdischargeforecastsfromhydrologicalensemblepredictionsystems |
| mega_collection | Wiley (CrossRef) |
| physical | 61-65 |
| publishDate | 2013 |
| publishDateSort | 2013 |
| publisher | Wiley |
| record_format | ai |
| recordtype | ai |
| series | Atmospheric Science Letters |
| source_id | 49 |
| spelling | Trinh, B. N. Thielen‐del Pozo, J. Thirel, G. 1530-261X 1530-261X Wiley Atmospheric Science http://dx.doi.org/10.1002/asl2.417 <jats:title>Abstract</jats:title><jats:p><jats:bold>Ensemble prediction system (<jats:styled-content style="fixed-case">EPS</jats:styled-content>) meteorological forecasts are increasingly being used as input to hydrological models in order to extend flood‐warning lead‐times and to improve forecasts and the knowledge of their uncertainty. Probabilistic skill scores classically used in meteorology are usually also utilized for assessing the quality of hydrological ensemble forecasts. However, the different river discharge magnitudes can make difficult the interpretation and comparisons of these scores, as it is for the continuous rank probability score (<jats:styled-content style="fixed-case">CRPS</jats:styled-content>). In this letter, a novel ‘Reduction’ <jats:styled-content style="fixed-case">CRPS</jats:styled-content> (<jats:styled-content style="fixed-case">RCRPS</jats:styled-content>), which takes into account the different river discharge magnitudes, is proposed, and its usefulness is exhibited. Copyright © 2013 Royal Meteorological Society</jats:bold></jats:p> The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems Atmospheric Science Letters |
| spellingShingle | Trinh, B. N., Thielen‐del Pozo, J., Thirel, G., Atmospheric Science Letters, The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems, Atmospheric Science |
| title | The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_full | The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_fullStr | The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_full_unstemmed | The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_short | The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_sort | the reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| title_unstemmed | The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems |
| topic | Atmospheric Science |
| url | http://dx.doi.org/10.1002/asl2.417 |