The SAFRAN daily gridded precipitation product in Tunisia (1979–2015)
A new high‐resolution (5 km) gridded daily precipitation dataset for Tunisia between 1979 and 2015 is introduced. This product combines 960 rain gauges with the SAFRAN analysis to produce the precipitation gridded data. A validation approach on two different datasets reveals that the SAFRAN analysis...
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Veröffentlicht in: | International journal of climatology 2019-12, Vol.39 (15), p.5830-5838 |
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container_title | International journal of climatology |
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creator | Tramblay, Yves Feki, Haifa Quintana‐Seguí, Pere Guijarro, José A. |
description | A new high‐resolution (5 km) gridded daily precipitation dataset for Tunisia between 1979 and 2015 is introduced. This product combines 960 rain gauges with the SAFRAN analysis to produce the precipitation gridded data. A validation approach on two different datasets reveals that the SAFRAN analysis outperforms other standard interpolation methods such as Inverse Distance, Nearest Neighbors, Ordinary Kriging or Residual Kriging with altitude. When compared to EOBS, a widely used gridded dataset over Europe, a strong negative bias in EOBS precipitation is found. However due to the aridity and the low density of rain gauges in south Tunisia, results in this region must be analyzed with care. The SAFRAN product could be useful for various purposes such as climate model evaluation, climate studies, hydrological modelling to support the planning and management of surface water resources in Tunisia.
Number of stations with available data between 1979 and 2015 (left) and distribution of the station altitudes (right) |
doi_str_mv | 10.1002/joc.6181 |
format | Article |
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Feki, Haifa ; Quintana‐Seguí, Pere ; Guijarro, José A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3611-d71e2230c2ad7f222723129e58bfb2df0d2347b7222c7155ea2d9ad605e8e633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aridity</topic><topic>Atmospheric precipitations</topic><topic>Civil Engineering</topic><topic>Climate</topic><topic>Climate models</topic><topic>Climate studies</topic><topic>Daily precipitation</topic><topic>Datasets</topic><topic>Engineering Sciences</topic><topic>Environmental Sciences</topic><topic>Gauges</topic><topic>Global Changes</topic><topic>Hydrologic data</topic><topic>Hydrologic models</topic><topic>Hydrologic studies</topic><topic>Hydrology</topic><topic>Interpolation</topic><topic>Interpolation methods</topic><topic>Kriging interpolation</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rain gauges</topic><topic>Rainfall</topic><topic>Resource management</topic><topic>Risques</topic><topic>SAFRAN</topic><topic>Statistical methods</topic><topic>Surface water</topic><topic>Surface water resources</topic><topic>Tunisia</topic><topic>Water resources</topic><topic>Water resources management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tramblay, Yves</creatorcontrib><creatorcontrib>Feki, Haifa</creatorcontrib><creatorcontrib>Quintana‐Seguí, Pere</creatorcontrib><creatorcontrib>Guijarro, José A.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tramblay, Yves</au><au>Feki, Haifa</au><au>Quintana‐Seguí, Pere</au><au>Guijarro, José A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The SAFRAN daily gridded precipitation product in Tunisia (1979–2015)</atitle><jtitle>International journal of climatology</jtitle><date>2019-12</date><risdate>2019</risdate><volume>39</volume><issue>15</issue><spage>5830</spage><epage>5838</epage><pages>5830-5838</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>A new high‐resolution (5 km) gridded daily precipitation dataset for Tunisia between 1979 and 2015 is introduced. This product combines 960 rain gauges with the SAFRAN analysis to produce the precipitation gridded data. A validation approach on two different datasets reveals that the SAFRAN analysis outperforms other standard interpolation methods such as Inverse Distance, Nearest Neighbors, Ordinary Kriging or Residual Kriging with altitude. When compared to EOBS, a widely used gridded dataset over Europe, a strong negative bias in EOBS precipitation is found. However due to the aridity and the low density of rain gauges in south Tunisia, results in this region must be analyzed with care. The SAFRAN product could be useful for various purposes such as climate model evaluation, climate studies, hydrological modelling to support the planning and management of surface water resources in Tunisia.
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source | Wiley Online Library Journals Frontfile Complete |
subjects | Aridity Atmospheric precipitations Civil Engineering Climate Climate models Climate studies Daily precipitation Datasets Engineering Sciences Environmental Sciences Gauges Global Changes Hydrologic data Hydrologic models Hydrologic studies Hydrology Interpolation Interpolation methods Kriging interpolation Precipitation Rain Rain gauges Rainfall Resource management Risques SAFRAN Statistical methods Surface water Surface water resources Tunisia Water resources Water resources management |
title | The SAFRAN daily gridded precipitation product in Tunisia (1979–2015) |
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