English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/210420
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


MOTEDAS Century Database, Part 2: spatial variation of temperature trends: the UP-TO-DATE effect

AuthorsSandonís-Pozo, Leire; Peña-Angulo, Dhais; Bruneti, Michele; Beguería, Santiago ; Gonzalez-Hidalgo, José Carlos
Issue DateMay-2020
PublisherEuropean Geosciences Union
CitationEGU General Assembly. EGU2020-3055 (Online. 4-8 May 2020)
AbstractWe have finished the complete digitalization of Annual Books from the Spanish meteorological service (AEMET) between 1916 to 1949. Data retrieved included monthly means of maximum and minimum temperature. In the present contribution we are going to show the new MOTEDAS_Century dataset (MOnthly TEmperature Dataset of Spain century) which has been performed matching data from the annual books and data from the national climate data bank of AEMET. The amount of stations with temperature data vary from a minimum of 228 (1938) and 2.030 (1994). This length of the time series is sometimes very short. Since we aim to analyse the information with a highest spatial density as possible we decided, instead of reconstructing series, to reconstruct monthly fields independently by using all the information available month to month between 1916 and 2015. Monthly interpolated data were converted to a high-resolution grid (10x10 km) using the Angular Distance Weighting method, resulting into a 5000 pixels grid.
Description2 Pags. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
Publisher version (URL)https://doi.org/10.5194/egusphere-egu2020-3055
Appears in Collections:(EEAD) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
BegueriaS_EGUGenAss-3_2020.pdf292,52 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.