Biblio

An operational R-based interpolation facility for climate and meteo data

TitleAn operational R-based interpolation facility for climate and meteo data
Publication TypeConference Paper
Year of Publication2014
AuthorsSluiter R
Conference NameDailyMeteo.org/2014
Date Published06/2014
PublisherFaculty of Civil Engineering, University of Belgrade
Conference LocationBelgrade
Abstract

KNMI is the Dutch national institute for weather, climate research and seismology. It disseminates weather and climate information to the public at large, the government, aviation and the shipping industry. KNMI conducts observations, develops models and performs fundamental research on the climate system. Interpolated datasets are becoming more and more important: environmental changes, such as global warming, force governments to develop policy to counter any adverse effects. For example hydrological models are part of the tool set used to develop and evaluate policy. These models require gridded maps of meteorological parameters such as rainfall, temperature and potential evaporation. KNMI has several ongoing projects to generate such gridded maps using point observations as a basis. The common goal of the research projects is to obtain the optimal interpolation method for each meteorological parameter and to optimize the dissemination of the interpolated maps to the users using innovative web services. I will present the Climate Atlas project and the datasets needed for the national project “NationaalHydrologischInstrumentarium (National Hydrological Toolbox)”. Prior to 1990 many parameters were measured on 5 to 16 weather stations. After 1990 these parameters were measured on about 30 automatic weather stations scattered around the Netherlands. The limited number of measurements poses great challenges for interpolation of 30 year time series as needed by retrospective and future climate studies. Therefore, we tested several methods including inverse distance weighted interpolation, multiple linear regression, thin plate splines and kriging. Quality information of the datasets is provided to the users in the form of cross-validation results and kriging variance. In the project we use R for statistical computing and graphics, including the gstat package. For research and production purposes we developed the GeoSpatial Interpolation Environment (GSIE) which is a shell including the R environment, database connections and OGC web services for visualization. We provide the datasets through the recently developed KNMI Data Centre (KDC: http://data.knmi.nl). KDC has been built on open standards and proven open source technology, which includes in-house developed software like ADAGUC WMS, the NADC data processing framework and a webportal. KDC includes 1) A user-friendly interface for (meta)data management; 2) Search capabilities using ISO 19115 (INSPIRE) compliant metadata available through a Catalog Services for the Web (CSW) server combined with deep search on geolocation and time; 3) NetCDF-CF files downloadable through FTP and HTTP services; 4) Viewing services based on the OGC Web Mapping Service Standard (WMS). Inthe keynote presentation I will present the entire interpolation chain including the latest developments of KNMI’s GeoSpatial Interpolation Environment (GSIE), the interpolation techniques, the datasets, data dissemination through KDC, future research, issues and challenges.

Attachment: 

Event Calendar

S M T W T F S
 
 
1
 
2
 
3
 
4
 
5
 
6
 
7
 
8
 
9
 
10
 
11
 
12
 
13
 
14
 
15
 
16
 
17
 
18
 
19
 
20
 
21
 
22
 
23
 
24
 
25
 
26
 
27
 
28
 
29
 
30
 
31
 
 
 

Meteo package

Recent comments

No comments available.