Powiadomienia systemowe
- Sesja wygasła!
- Sesja wygasła!
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Spatial-temporal methods in the climatological research (based on the example of Poland)
Języki publikacji
Abstrakty
The main objective of the study is to present spatial and temporal methods in climatology using GIS techniques. The study is mainly based on the examples of climatological elements from the territory of Poland. Simultaneously, many examples from world literature were cited. Special importance of the European Union/European Science Foundation programme COST 719 .The use of GIS in climatology and meteorology. was stressed. First, a review of contemporary studies is presented with explanation of some terms such as .interpolation. and .spatialisation.. The principle features of the GIS, digital maps and spatial analyses were discussed. Spatialisation problems were explained on the Polish examples with special attention paid to the air temperature and precipitation. That was done with the reference to some European results. All mentioned studies clearly confirmed that there is no one universal spatialisation method efficient enough for all climatological elements. Moreover, each spatial and temporal scale may require application of other spatialisation method. Usually, the best results can be achieved with the application of methods using additional explanatory variables such as residual kriging, cokriging or multiple regression. Different geographic parameters, including elevation, latitude, longitude, land cover etc. can be used as the predictor variables for the spatialisation. When one can not find them and the coherence between analysing parameter and other variables is unknown application of ordinary kriging is recommended in the first step. The study confirms that application of circulation types as the main additional predictor (i.e. synoptic climatology method) together with GIS techniques e.g. residual kriging is a useful and promising tool for constructing climate maps at different temporal and spatial scales. The results show that climatological studies with this kind of methodological approach may have a prior cognitive as well as a practical importance. Using the .Grosswetterlagen. calendar of circulation types for this purpose for the territory of Poland has shown that each type causes a slightly different spatial distribution of e.g. air temperature both in winter and summer. Finally, there are some examples presenting GIS tools for the purposes of temporal analyses. They enable an easy calculation and display of the area with specified climatic conditions and constructing diagrams for the climate monitoring purposes. Gridded approach is strongly recommended as a promising tool for the studies with different spatial and temporal scales.
Czasopismo
Rocznik
Tom
Strony
147--156
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
autor
autor
- Uniwersytet Śląski, Instytut Meteorologii i Gospodarki Wodnej, Oddział w Krakowie, zbigniew.ustrnul@imgw.pl
Bibliografia
- 1. Auer I., Böhm R., Mohnl H., Potzmann R., Schöner W., 2000: OKLIM . Digital Climatology of Austria 1961-1990, Procedings of 3rd European Conference on Applied Climatology (ECAC 2000), Pisa, Italy, CD-ROM.
- 2. Bac-Bronowicz J., 2003: Methods of the visualisation of precipitation based on various observation measurement periods in GIS, [w:] Man and climate in the 20th century, Studia Geograficzne 75, Wyd. Uniw. Wrocławskiego, Wrocław, 559-563.
- 3. Brown D.P., Comrie A.C., 2002: Spatial modeling of winter temperature and precipitation in Arizona and New Mexico, USA, Climate Research, Vol. 22, 115-128.
- 4. Chapman L., Thornes J.E., 2003: The use of geographical information systems in climatology and meteorology, Progress in Physical Geography, Vol. 27, No. 3, 313-330.
- 5. Cressie N.A.C., 1993: Statistics for spatial data, revised edition, Wiley, New York, s. 900.
- 6. Dobesch H., Tveito O.E., Bessemoulin P., 2001: Final Report Project no. 5 in the framework of the climatological projects in the application area of ECSN. Geographic Information Systems in Climatological Application, DNMI, KLIMA, Oslo.
- 7. Dyras I., Dobesch H., Grueter E., Perdigao A., Tveito O.E., Thornes J.E., Van der Wel F., Bottai L., 2005: The use of Geographic Information System in climatology and Meteorology: COST 719, Meteorol. Appl., 12, 1-5.
- 8. Dyras I., Serafin-Rek D., 2005: The application of GIS technology for precipitation mapping, Meteorol. Appl., 12, 69-75.
- 9. Frączek W., Bytnerowicz A., 2004: Geostatistics as a tool for evaluation of ambient ozone distribution models in the Tatra Mountains, [W:] A message from the Tatra - Geographical Information Systems and Remote Sensing in Mountain Environmental Research, Kraków . Riverside, Jagiellonian University Press, 47-61.
- 10. Gerstengarbe, F.W., Werner, P.C., 1993: Katalog der Grosswetterlagen Europas nach Paul Hess und Helmuth Brezowsky 1881-1992. Berichte des Deutschen Wetterdienstes, 113, Offenbach am Main.
- 11. Hess, P., Brezowsky, H., 1952: Katalog der Grosswetterlagen Europas, Ber. Dt. Wetterdienst in US-Zone, Nr. 33.
- 12. Kilsby, C.G., Cowpertwait, P.S.P., O.Connell, P.E., Jones, P.D., 1998: Predicting rainfall statistics in England and Wales using atmospheric circulation variables, Int. J. Climatol. 18, 523-539.
- 13. Magnuszewski A., 1999: GIS w geografii fizycznej, PWN, Warszawa.
- 14. Müller-Westermeier G., Kreis A., Dittmann E., 1999: Klimaatlas Bundesrepublik Deutschland, Teil 1, Deutscher Wetterdienst, Offenbach am Main.
- 15. Nash J.E., Sutcliffe J.V., 1970: River flow forecasting thorough conceptual models, part 1 . A discussion of principles, J. Hydrol., 10 (39), 282-290.
- 16. Quiel F., Sobik M., Rosiński D., 2003: Spatial analysis of air temperature trends in Europe with the use of GIS, [w:] Man and climate in the 20th century, Studia Geograficzne 75, Wyd. Uniw. Wrocławskiego, Wrocław, 541-550.
- 17. Sobik M., Netzel P., Quiel F., 2001: Zastosowanie modelu rastrowego do określenia pola rocznej sumy opadów atmosferycznych na Dolnym Śląsku, Uniwersytet Gdański, Rocz. Fizycznogeograficzny, T. VI, 27-34.
- 18. Sobolewski W., 2001: Numeryczna mapa opadów atmosferycznych dla dorzecza Wisły, Uniwersytet Gdański, Rocz. Fizycznogeograficzny, t. VI, 79-84.
- 19. Stach A., Tamulewicz J., 2003: Wstępna ocena przydatności wybranych algorytmów przestrzennej estymacji miesięcznych i rocznych sum opadów na obszarze Polski, [W:] Kostrzewski, Szpikowski (red.). Funkcjonowanie geoekosystemów zlewni rzecznych, Tom 3, Instytut Badań Czwartorzędu i Geoekologii UAM, Bogucki Wyd. Naukowe, Poznań, 87-111.
- 20. Trafas K., Pyka K., (red.) 1997: Komputerowy atlas województwa krakowskiego, Urząd Wojewódzki w Krakowie.
- 21. Trigo R.M., DaCamara C.C., 2000: Circulation weather types and their influence on the precipitation regime in Portugal, Int. J. Climatol. 20, 1559-1581.
- 22. Tveito, O.E., 2002: An objective comparison of observed and forecast 24-hour precipitation, a spatial analysis, Klima, No 10.
- 23. Tveito O.E. (red.), 2006: COST 719 Final Report, Chapter 2: Spatialisation of the climatological and meteorological information by the support of GIS, Brussels.
- 24. Tveito O.E., Bjordal I., Skjelvag A.O., Aune B., 2005: A GIS-based agro-ecological decision system based on gridded climatology, Meteorol. Appl., 12, 57-68.
- 25. Tveito O.E., Schöner W. (eds.), 2002: Applications of spatial interpolation of climatological and meteorological elements by the use of geographical information systems (GIS), DNMI, Klima, No 28, Oslo.
- 26. Tveito O.E., Ustrnul Z., 2003: A review of the use of large-scale atmospheric circulation classification in spatial climatology, DNMI, Klima, No 10, Oslo.
- 27. Ustrnul Z., Czekierda D., 2005a: Application of GIS for the development of climatological air temperature maps: an example from Poland, Meteorol. Appl., 12, 43-50.
- 28. Ustrnul Z., Czekierda D., 2005b: Analiza zmienności czasowej rozkładu temperatury powietrza w Polsce z zastosowaniem metod GIS, Roczniki Geomatyki, t. 3, z. 2, 153-162.
- 29. Wackernagel, H., 1998: Splines and kriging with drift, Seminar on Data Spatial Distribution in Meteorology and Climatology, EU Cost79 Publication, Luxembourg, 57-64.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW7-0008-0030