WCDMP, 85. Ninth Seminar for Homogenization and Quality
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Climate Data and Monitoring WCDMP-No. 85 NINTH SEMINAR FOR HOMOGENIZATION AND QUALITY CONTROL IN CLIMATOLOGICAL DATABASES AND FOURTH CONFERENCE ON SPATIAL INTERPOLATION TECHNIQUES IN CLIMATOLOGY AND METEOROLOGY (Budapest, Hungary, 03 – 07 April 2017) WEATHER CLIMATE WATER CLIMATE WEATHER © World Meteorological Organization, 2017 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication (articles) in part or in whole should be addressed to: Chair, Publications Board World Meteorological Organization (WMO) 7 bis avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 81 17 CH-1211 Geneva 2, Switzerland Email: [email protected] NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion what- soever on the part of WMO concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products does not imply that they are endorsed or recommended by WMO in preference to others of a similar nature which are not mentioned or advertised. The findings, interpretations and conclusions expressed in WMO publications with named authors are those of the authors alone and do not neces- sarily reflect those of WMO or its Members. This publication has been issued without formal editing. NINTH SEMINAR FOR HOMOGENIZATION AND QUALITY CONTROL IN CLIMATOLOGICAL DATABASES AND FOURTH CONFERENCE ON SPATIAL INTERPOLATION TECHNIQUES IN CLIMATOLOGY AND METEOROLOGY Budapest, Hungary, 03 – 07 April 2017 Organized by the Hungarian Meteorological Service (OMSZ) Supported by Climate monitoring products for Europe based on Surface in- situ Observations high-resolution gridded information products is generated in Copernicus Climate Change Service (C3S) Climate Data Store (CDS) project WMO and OMSZ Edited by Tamás Szentimrey, Mónika Lakatos, Lilla Hoffmann PREFACE Homogenization of climate data series and spatial interpolation of climate data play a growing role in the meteorology and climatology. The data series are usually affected by inhomogeneities due to changes in the measurement conditions (relocations, instrumentation) therefore a direct analysis of the raw data series can lead to wrong conclusions about climate change. Reconstruction of meteorological fields and gridded databases require spatial interpolation methods. The first seven Seminars for Homogenization and Quality Control in Climatological Databases as well as the first two Conferences on Spatial Interpolation Techniques in Climatology and Meteorology were held in Budapest hosted by the Hungarian Meteorological Service and supported by WMO. The specialty of both series was focusing on the mathematical methodology! The 7th Seminar in 2011 was organized together with the final meeting of the COST Action ES0601: Advances, in Homogenization Methods of Climate Series: an integrated approach (HOME), while the 1st Conference on Spatial Interpolation was organized in 2004 in the frame of the COST Action 719: The Use of Geographic Information Systems in Climatology and Meteorology. In 2014 the 8th Homogenization Seminar and the 3rd Conference on Spatial Interpolation were organized together considering certain theoretical and practical respects. Theoretically there is a strong connection between these topics since the homogenization and quality control procedures need spatial statistics and interpolation techniques for spatial comparison of data. On the other hand the spatial interpolation procedures (e.g. gridding) need homogeneous data series with high quality. Practically the CARPATCLIM project that was launched in 2010 and ended in 2013 is a good example for this problem. The main purpose of the project was to produce a gridded database for the Carpathian region based on homogenized data series. The experiences of this project may be useful for the implementation of gridded databases. The WMO CCl set up team to support quality control and homogenization activities at NMHSs. The main task of the Task Team on Homogenisation (TT HOM) to provide guidance to Members on methodologies, standards and software required for quality control and homogenization of long term climate time-series. The results of the homogenization sessions can improve the content of the guidance is under preparation. Gridded climate data derived from meteorological measurements are widely used in climate research, validation of global and regional climate models, in many applications in climate change impacts assessments and derivation of different climate products. The main aim of the C3S _311a Lot4: Copernicus Climate Change Service based on Surface in-situ Observations project is serving the different applications with gridded climate data. The meeting made a nice opportunity to exchange experiences on the recently used methods for homogenization and gridding. Special thanks to the C3S _311a Lot4 project for the support. The Organizers 2 CONTENTS PREFACE ........................................................................................................................................ 2 CONTENTS .................................................................................................................................... 3 INTRODUCTION ON HOMOGENIZATION, QUALITY CONTROL, SPATIAL INTERPOLATION, GRIDDING .................................................................................................... Tamás Szentimrey..................................................................................................................... 5 ANALYSIS OF THE IMPACTS OF THE AUTOMATIZATION OF MEASUREMENT SYSTEMS USING PARALLEL MEASUREMENTS FROM GERMAN CLIMATE REFERENCE STATIONS ............................................................................................................... Lisa Hannak, Karsten Friedrich, Florian Imbery, Frank Kaspar ................................. 20 TIME SERIES HOMOGENISATION WITH OPTIMAL SEGMENTATION AND ANOVA CORRECTION: PAST, PRESENT AND FUTURE ..................................................................... Peter Domonkos ...................................................................................................................... 29 COMPARISON OF HOMOGENIZATION PACKAGES APPLIED .......................................... TO MONTHLY SERIES OF TEMPERATURE AND PRECIPITATION:................................. THE MULTITEST PROJECT ......................................................................................................... José A. Guijarro, José A. López, Enric Aguilar, Peter Domonkos, .................................... Victor K.C. Venema, Javier Sigró and Manola Brunet .................................................... 46 SOME THEORETICAL QUESTIONS AND DEVELOPMENT OF MASH FOR HOMOGENIZATION OF STANDARD DEVIATION ................................................................ Tamás Szentimrey................................................................................................................... 63 HOMOGENISATION OF DAILY STATION DATA IN ENGLAND AND WALES .............. Kay Shelton, Sarah Warren, Richard Davis, Duncan Faulkner ..................................... 74 HOMPRA EUROPE – A GRIDDED PRECIPITATION DATA SET FROM EUROPEAN HOMOGENIZED TIME SERIES ................................................................................................... Elke Rustemeier, Alice Kapala, Anja Meyer-Christoffer, Peter Finger, Udo Schneider, Victor Venema, Markus Ziese, Clemens Simmer, Andreas Becker ............................... 88 HOMOGENIZING GPS INTEGRATED WATER VAPOUR TIME SERIES: METHODOLOGY AND BENCHMARKING THE ALGORITHMS ON SYNTHETIC DATASETS ....................................................................................................................................... R. Van Malderen, E. Pottiaux, A. Klos, O. Bock, J. Bogusz, B. Chimani, M. Elias, M. Gruszczynska, J. Guijarro, S. Zengin Kazancı and T. Ning .......................................... 102 NEW DEVELOPMENTS OF INTERPOLATION METHOD MISH: MODELLING OF INTERPOLATION ERROR RMSE, AUTOMATED REAL TIME QUALITY CONTROL .... Tamás Szentimrey................................................................................................................. 115 3 COMPARISON OF DIFFERENT INTERPOLATION METHODS FOR THE GENERATION OF A CLIMATOLOGY OF MAXIMUM AND MINIMUM MONTHLY TEMPERATURES IN SPANISH MAINLAND ............................................................................ Dhais Peña-Angulo, Celia Salinas Solé, Azucena Jiménez Castañeda, Marcos Rodrigues, Michele Brunetti, Santiago Beguería, Sergio Vicente, José Carlos González-Hidalgo .................................................................................................................. 125 EXPERIENCES WITH SNOW LEVEL ESTIMATION FOR SPATIAL ANALYSE OF NEW SNOW DEPTH BASED ON PRECIPITATION DATA .................................................... Květoň, Vít and Žák, Michal ............................................................................................... 138 HOMOGENIZATION AND GRIDDING OF THE GREEK TIME SERIES ............................. A. Mamara, M. Anadranistakis, A.A. Argiriou ..............................................................