A Romanian daily high-resolution gridded dataset of snow depth (2005-2015)
| Autor: | Marius-Victor Birsan, Alexandru Dumitrescu, Ion-Andrei Nita |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Snowpack 010502 geochemistry & geophysics Snow 01 natural sciences Cross-validation snowpack spatial interpolation Kriging multiquadratic cross-val- idation Romania Multivariate interpolation Geophysics Climatology snježni pokrivač prostorna interpolacija kriging multikvadratična poprečna validacija Rumunjska Spatial variability Digital elevation model Geology 0105 earth and related environmental sciences Interpolation |
| Zdroj: | Geofizika Volume 34 Issue 2 |
| ISSN: | 1846-6346 0352-3659 |
| DOI: | 10.15233/gfz.2017.34.14 |
| Popis: | This study presents the spatial interpolation procedure from snow depth measurements at weather stations implying the following stages: (1) Spatial interpolation at 1 km × 1 km resolution of the mean multiannual values (2005-2015) corresponding to each month, computed from the data extracted from the climatological database; (2) Computation of the daily deviations against the multiannual monthly mean for every day and year over 2005–2015 and their spatial interpolation; (3) Spatio-temporal datasets were obtained through merging the two surfaces obtained in stages 1 and 2. The anomalies were considered to be the ratio between the daily snow depth values and the climatology. The spatial variability of the data used in the first stage was accounted for through the use of a series of predictors derived from the digital elevation model (DEM). To plot the maps with the climatological normals (multiannual means), the Regression-Kriging (RK) spatial interpolation method was used. In order to choose the optimum method applied in spatializing deviations, four interpolation methods were tested using a cross-validation procedure: Multiquadratic, Ordinary Kriging (separated and pooled variograms) and 3d Kriging. Ova studija prikazuje proceduru prostorne interpolacije mjerenja dubine snijega na meteorološkim postajama koja podrazumijeva sljedeće faze: (1) prostorna interpolacija pri rezoluciji od 1 km x 1 km srednjih višegodišnjih vrijednosti (2005.–2015.), koja se provodi s podacima iz klimatološke baze; (2) izračunavanje dnevnih odstupanja od višegodišnjeg mjesečnog srednjaka za svaki dan i godinu tijekom razdoblja od 2005. do 2015. i njihova prostorna interpolacija; (3) prostorno-vremenski skup podataka dobiven je združivanjem procjena dobivenih u fazi 1 i 2. Odstupanja su definirana kao omjeri dnevnih vrijednosti dubine snijeg i klimatološkog srednjaka. Prostorna varijabilnost podataka korištenih u prvoj fazi objašnjena je korištenjem niza prediktora izvedenih iz digitalnog modela visina (DEM). Karte klimatoloških normala (višegodišnji srednjaci) izrađene su metodom prostorne interpolacije zvanom regresijski kriging (RK). Za odabir optimalne metode za prostornu interpolaciju odstupanja, testirane su četiri metode interpolacije i ocijenjene pomoću postupka poprečne validacije: multikvadratična, obični kriging (razdvojeni i skupni variogrami) i 3D kriging. |
| Databáze: | OpenAIRE |
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