Improvement of daily precipitation estimations using PRISM with inverse-distance weighting
Improved daily precipitation estimations were attempted using the parameter-elevation regressions on a parameter-elevation regression on independent slopes model (PRISM) with inverse-distance weighting (IDW) and a precipitation-masking algorithm for precipitation areas. The PRISM (PRISM_ORG) suffers...
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| Veröffentlicht in: | Theoretical and applied climatology 2020-02, Vol.139 (3-4), p.923-934 |
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| creator | Jeong, Ha-Gyu Ahn, Joong-Bae Lee, Joonlee Shim, Kyo-Moon Jung, Myung-Pyo |
| description | Improved daily precipitation estimations were attempted using the parameter-elevation regressions on a parameter-elevation regression on independent slopes model (PRISM) with inverse-distance weighting (IDW) and a precipitation-masking algorithm for precipitation areas. The PRISM (PRISM_ORG) suffers two overestimation problems when the daily precipitation is estimated: overestimation of the precipitation intensity in mountainous regions and overestimation of the local precipitation areas. In order to solve the problem of overestimating the precipitation intensity, we used the IDW technique that employs the same input stations as those used in the PRISM regression (PRISM_IDW). A precipitation-masking algorithm that selectively masks the precipitation estimation grid points was additionally applied to the PRISM_IDW results (PRISM_MSK). For 6 months from March to August 2012, daily precipitation data were produced in a horizontal resolution of 1 km based on the above two experiments and PRISM_ORG. Afterwards, each experiment was evaluated for improvements. The monthly root mean squared errors (RMSEs) of PRISM_IDW and PRISM_MSK were reduced by 0.83 mm/day and 0.86 mm/day, respectively, compared to PRISM_ORG. |
| doi_str_mv | 10.1007/s00704-019-03012-6 |
| format | Article |
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The PRISM (PRISM_ORG) suffers two overestimation problems when the daily precipitation is estimated: overestimation of the precipitation intensity in mountainous regions and overestimation of the local precipitation areas. In order to solve the problem of overestimating the precipitation intensity, we used the IDW technique that employs the same input stations as those used in the PRISM regression (PRISM_IDW). A precipitation-masking algorithm that selectively masks the precipitation estimation grid points was additionally applied to the PRISM_IDW results (PRISM_MSK). For 6 months from March to August 2012, daily precipitation data were produced in a horizontal resolution of 1 km based on the above two experiments and PRISM_ORG. Afterwards, each experiment was evaluated for improvements. The monthly root mean squared errors (RMSEs) of PRISM_IDW and PRISM_MSK were reduced by 0.83 mm/day and 0.86 mm/day, respectively, compared to PRISM_ORG.</description><identifier>ISSN: 0177-798X</identifier><identifier>EISSN: 1434-4483</identifier><identifier>DOI: 10.1007/s00704-019-03012-6</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Algorithms ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Climate science ; Climatology ; Daily ; Daily precipitation ; Distance ; Earth and Environmental Science ; Earth Sciences ; Elevation ; Hydrologic data ; Local precipitation ; Masking ; Masks ; Mountain regions ; Original Paper ; Parameter estimation ; Precipitation ; Precipitation data ; Precipitation estimation ; Rainfall intensity ; Regression models ; Waste Water Technology ; Water Management ; Water Pollution Control ; Weighting</subject><ispartof>Theoretical and applied climatology, 2020-02, Vol.139 (3-4), p.923-934</ispartof><rights>The Author(s) 2019</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Theoretical and Applied Climatology is a copyright of Springer, (2019). All Rights Reserved. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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The PRISM (PRISM_ORG) suffers two overestimation problems when the daily precipitation is estimated: overestimation of the precipitation intensity in mountainous regions and overestimation of the local precipitation areas. In order to solve the problem of overestimating the precipitation intensity, we used the IDW technique that employs the same input stations as those used in the PRISM regression (PRISM_IDW). A precipitation-masking algorithm that selectively masks the precipitation estimation grid points was additionally applied to the PRISM_IDW results (PRISM_MSK). For 6 months from March to August 2012, daily precipitation data were produced in a horizontal resolution of 1 km based on the above two experiments and PRISM_ORG. Afterwards, each experiment was evaluated for improvements. 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estimations using PRISM with inverse-distance weighting</title><author>Jeong, Ha-Gyu ; Ahn, Joong-Bae ; Lee, Joonlee ; Shim, Kyo-Moon ; Jung, Myung-Pyo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-96356fd474fdb6d405dc51dd680d8bdd0dc0ec2785c1e330fc749141d2ccfd3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Atmospheric Sciences</topic><topic>Climate science</topic><topic>Climatology</topic><topic>Daily</topic><topic>Daily precipitation</topic><topic>Distance</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Elevation</topic><topic>Hydrologic data</topic><topic>Local precipitation</topic><topic>Masking</topic><topic>Masks</topic><topic>Mountain regions</topic><topic>Original Paper</topic><topic>Parameter estimation</topic><topic>Precipitation</topic><topic>Precipitation data</topic><topic>Precipitation estimation</topic><topic>Rainfall intensity</topic><topic>Regression models</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Weighting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jeong, Ha-Gyu</creatorcontrib><creatorcontrib>Ahn, Joong-Bae</creatorcontrib><creatorcontrib>Lee, Joonlee</creatorcontrib><creatorcontrib>Shim, Kyo-Moon</creatorcontrib><creatorcontrib>Jung, Myung-Pyo</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water 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parameter-elevation regressions on a parameter-elevation regression on independent slopes model (PRISM) with inverse-distance weighting (IDW) and a precipitation-masking algorithm for precipitation areas. The PRISM (PRISM_ORG) suffers two overestimation problems when the daily precipitation is estimated: overestimation of the precipitation intensity in mountainous regions and overestimation of the local precipitation areas. In order to solve the problem of overestimating the precipitation intensity, we used the IDW technique that employs the same input stations as those used in the PRISM regression (PRISM_IDW). A precipitation-masking algorithm that selectively masks the precipitation estimation grid points was additionally applied to the PRISM_IDW results (PRISM_MSK). For 6 months from March to August 2012, daily precipitation data were produced in a horizontal resolution of 1 km based on the above two experiments and PRISM_ORG. Afterwards, each experiment was evaluated for improvements. The monthly root mean squared errors (RMSEs) of PRISM_IDW and PRISM_MSK were reduced by 0.83 mm/day and 0.86 mm/day, respectively, compared to PRISM_ORG.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00704-019-03012-6</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6958-2801</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Climate science Climatology Daily Daily precipitation Distance Earth and Environmental Science Earth Sciences Elevation Hydrologic data Local precipitation Masking Masks Mountain regions Original Paper Parameter estimation Precipitation Precipitation data Precipitation estimation Rainfall intensity Regression models Waste Water Technology Water Management Water Pollution Control Weighting |
| title | Improvement of daily precipitation estimations using PRISM with inverse-distance weighting |
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