Abstract
Climate change and a rising number of extreme weather events increase the demand for regional climate adaptation concepts. Consequently, the need for supporting the development of such concepts, for example through the usage of digital climate services, is growing. In particular, the adequate use of geospatial data and Web services could accompany actors in the development and primarily in the implementation of climate adaptation measures. The paper describes the potential of current geo-Web services and innovative data exchange formats for future climate services. The hypothesis is to determine whether the use of innovative exchange formats and interoperable geo-Web services can contribute to an increase of quality and an expanded usage of Web services during the definition of regional climate adaptation measures. Aiming at the verification, or falsification, of this hypothesis, various investigations were and are being carried out. They are embedded in a research project, focusing on climate adaptation measures in small river catchments. Initial results suggest that the hypothesis can be confirmed. It will be tested based on the development of innovative climate services aimed at producing maps that inform users about erosion vulnerabilities in two exemplary catchments. Resulting findings will be presented, and conclusions are drawn.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adams, B., & Suykens, F. (2013). Astute: Increased situational awareness through proactive decision support and adaptive mapcentric user interfaces. In Proceedings of the 2013 European Intelligence and Security Informatics Conference (EISIC), Uppsala, Sweden, August 12–14, 2013, pp. 289–293. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6657185.
Babitski, G., Bergweiler, S., Hoffmann, J. Schön, D., Stasch, C., & Walkowski, A. C. (2009). Ontology-based integration of sensor web services in disaster management. In K. Janowicz, M. Raubal, & S. Levashkin (Hrsg.), GeoSpatial semantics. Third International Conference, GeoS 2009, Mexico (pp. 103–121). Berlin, Heidelberg: Springer.
Botts, M., Percivall, G., Reed, C., & Davidson, J. (Hrsg.) (2007). OGC sensor web enablement: Overview and high level architecture. OGC Doc. No. OGC 07-165, Version 3. portal.opengeospatial.org/files/?artifact_id=25562. Last Accessed July 12, 2017.
Climate Knowledge Hub—A network of climate service providers. http://www.climate-knowledge-hub.org/#/. Last Accessed July 13, 2017.
Copernicus—A European Union Programme aimed at developing European information services based on satellite Earth Observation and in situ (non-space) data. www.copernicus.eu/main/services. Last Accessed July 14, 2017.
Cortekar, J., Máñez, M., & Zölch, T. (2014). Klimadienstleistungen in Deutschland - Eine Analyse der Anbieter und Anwender. CSC Report 16, Climate Service Center, Germany.
Daisey, P. (2015). OGC® GeoPackage Encoding Standard with corrigendum. OGC Doc No. OGC 12-128r12. http://www.opengis.net/doc/IS/geopackage/1.0. Last Accessed July 12, 2017.
Eicker, U., Nouvel, R., Schulte, C., Schumacher, J., & Coors, V. (2012). 3D-Stadtmodelle für die Wärmebedarfsberechnung. In Fourth German-Austrian IBPSA Conference—BauSim 2012, Berlin.
ERA4CS—European Research Area for Climate Services. (2016). ERA4CS Joint Call on Researching and Advancing Climate Services Development by (A) Advanced co-development with users, (B) Institutional integration, Joint Programming Initiative “Connecting Climate Knowledge for Europe” (JPI Climate). http://www.jpi-climate.eu/media/default.aspx/emma/org/10869130/ERA4CS_joint+call_04march.pdf.
Gröger, G., Kolbe, T. H., Nagel, C., & Häfele, K.-H. (Hg.). (2012). OGC City geography markup language (CityGML) encoding standard. OGC Doc. No. OGC 12-019.
Hewitt, C., Mason, S., & Walland, D. (2012). The global framework for climate services. Nature Climate Change, 2(2012), 831–832. https://doi.org/10.1038/nclimate1745.
Kalberer, P. (2013). GeoPackage, das Shapefile der Zukunft. FOSSGIS Konferenz 2013. Rapperswil, Schweiz.
Klafft, M., & Reinhardt, N. (2016). Information and interaction needs of vulnerable groups with regard to disaster alert apps. Gesellschaft für Informatik e.V. 2016. In B. Weyers & A. Dittmar (Eds.), Mensch und Computer 2016 – Workshopbeiträge, September 4–7, 2016, Aachen. http://dx.doi.org/10.18420/muc2016-ws01-0003.
Klimanavigator - Der Wegweiser zum Klimawissen in Deutschland. www.klimanavigator.de. Last Accessed July 13, 2017.
Masó, J., Diaz, P., Riverola, A., Díaz, D., & Pons, X. (2013). Exchanging the Status between Clients of Geospatial Web Services and GIS applications using Atom. In Proceedings of the International Multi Conference of Engineers and Computer Scientists (Vol. 1, pp. 385–390). https://www.researchgate.net/publication/289780174_Exchanging_the_Status_between_Clients_of_Geospatial_Web_Services_and_GIS_applications_using_Atom.
Meissen, U., & Röthlein, B. (2010). SAFE - Ein künftiges Extremwetterwarnsystem im Praxistest, Schadenprisma. http://www.schadenprisma.de/pdf/sp_2010_1_2.pdf.
NSERL. (2017). (National Soil Erosion Laboratory, Purdue University Indiana), Revised Universal Soil Loss Equation, Version 2 (RUSLE2). http://fargo.nserl.purdue.edu/rusle2_dataweb/RUSLE2_Index.htm.
Rashidan, M. H., & Musliman, I. A. (2015). GeoPackage as future ubiquitous GIS data format: A review. Jurnal Teknologi, 73(5), 47–53. https://doi.org/10.11113/jt.v73.4319.
Reinstorf, F., & Ohme, J. (2014). Hydrologische Bewertung des Mulden-Rigolen-Systems im Bebauungsgebiet Poetengang der Stadt Sangerhausen, Projektbericht, Hochschule Magdeburg-Standal, Fachbereich Wasser- und Kreislaufwirtschaft.
Resch, B. (2013). Standardisierte Geosensornetzwerke für Umweltbeobachtungen in naher Echtzeit. In A. Koch, R. Bill, & A. Donaubauer (Hg.), Geoinforationssysteme 2013, Beiträge zum 18. Münchner Fortbildungsseminar (pp. 260–264). Berlin: Wichmann Verlag.
Reuter, C., Kaufhold, M., Leopold, I., & Knipp, H. (2017). KATWARN, NINA, OR FEMA? MULTI-METHOD STUDY ON DISTRIBUTION, USE, AND PUBLIC VIEWS ON CRISIS APPS. In Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, June 5–10, 2017 (pp. 2187–2201). ISBN 978-989-20-7655-3. Research Papers. http://aisel.aisnet.org/ecis2017_rp/139.
Schöner, W. (2010). Basics of climatological and meteorological observations for GIS applications. In P. Carrega (Ed.), Geographical information and climatology 2010. Wiley-ISTE: Hoboken, NY.
Simonis, I., De Lathouwer, B., & Taylor, T. (2016). Sensor web enablement (SEW) for citizen science. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, 2016, pp. 3618–3620.
Uppala, S., Broad, A., Delécluse, P., Köchy, M., Strahlendorff, M., & Doherty, M. (2011). GMES Climate service: Towards a European knowledge base in support of mitigation and adaptation. European Commission Enterprise and Industry Directorate-General. Draft Document DG ENTR/H.4/CC.
Vescovi, F. D., Lankester, T., Coleman, E., & Ottavianelli, G. (2015). Harmonisation initiatives of Copernicus data quality control. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W3, 2015 36th International Symposium on Remote Sensing of Environment, May 11–15, 2015, Berlin, Germany.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Scheinert, M., Pundt, H., Heilmann, A. (2019). Geo-Web Services and New Exchange Formats to Develop Future Services Supporting Climate Change Adaptation Measures. In: Leal Filho, W., Leal-Arcas, R. (eds) University Initiatives in Climate Change Mitigation and Adaptation. Springer, Cham. https://doi.org/10.1007/978-3-319-89590-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-89590-1_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-89589-5
Online ISBN: 978-3-319-89590-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)