RCIN and OZwRCIN projects

Object

Title: Soil water storage in Poland over the years 2000-2015 in response to precipitation variability as retrieved from GLDAS Noah simulations

Creator:

Somorowska, Urszula

Date issued/created:

2017

Resource type:

Text

Subtitle:

Geographia Polonica Vol. 90 No. 1 (2017)

Publisher:

IGiPZ PAN

Place of publishing:

Warszawa

Description:

24 cm

Type of object:

Journal/Article

Abstract:

This study assesses the soil water storage in Poland over the years 2000-2015. Soil water storage (SWS) data were acquired from the GLDAS Noah model simulations. The specific objectives were to provide a quantitative assessment of the SWS in the soil layer of 0-50 cm depth to detect extreme stages of SWS, and to provide an insight into the effects of precipitation deficit or surplus on the stage of SWS. Extremely low SWS was detected to occur in August 2003, July 2006, and September 2015. Contrasting high SWS stages appeared in May and June 2010, caused by excessive precipitation.

References:

1. Alberger C., De Rosnay P., Gruhier C., MUÑOZ - SABATER J., HASENAUER S., ISAKSEN L., KERR Y., WAGNER W., 2012. Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations. Remote Sensing of Environment, vol. 118, no. 11, pp. 215-226.
https://doi.org/10.1016/j.rse.2011.11.017 -
2. Diodato N., Brocca L., Bellocchi G., Fiorillo F., Guadagno F.M., 2014. Complexity-reduction modelling for assessing the macro-scale patterns of historical soil moisture in the Euro-Mediterranean region. Hydrological Processes, vol. 28, no. 11, pp. 3752-3760.
https://doi.org/10.1002/hyp.9925 -
3. Dorigo W.A., Xaver A., Vreugdenhil M., Gruber A., Hegyiová A., Sanchis-Dufau A.D., Wagner W., Drusch M., 2013. Global automated quality control of in situ soil moisture data from the International Soil Moisture Network. Vadose Zone Journal, vol. 12, no. 3, 1539-1663.
https://doi.org/10.2136/vzj2012.0097 -
4. Jokiel P. (ed.), 2008. Zjawiska ekstremalne i zdarzenia nadzwyczajne w środkowej Polsce. Acta Universitats Lodziensis: Folia Geographica Physica, vol. 8, Łódź: Wydawnictwo Uniwersytetu Łódzkiego.
5. KĘDZIORA A., KĘPIŃSKA-KASPRZAK M., KOWALCZAK P., KUNDZEWICZ Z.W., MILER A.T., PIERZGALSKI E., TOKARCZYK T., 2014. Zagrożenia związane z niedoborem wody. Nauka, no. 1, pp. 149-172.
6. Liu Y.Y., Mccabe M.F., Evans J.P., Van Dijk A.I.J.M., De Jeu R.A.M., Su H., 2009. Comparison of soil moisture in GLDAS model simulations and satellite observations over the Murray Darling Basin [in:] R.S. Anderssen, R.D. Braddock, L.T.H. Newham (eds.), Proceedings of the International Congress on Modelling and Simulation, Cairns, Australia, 13-17 July, pp. 2798-2804.
7. Massari C., Brocca L., Ciabatta L., Moramarco T., Gabellani S., Albergel C., De Rosnay P., Gabellani S., Wagner, W., 2015. The use of H-SAF soil moisture products for operational hydrology: Flood modelling over Italy. Hydrology, vol. 2, no. 1, pp. 2-22.
https://doi.org/10.3390/hydrology2010002 -
8. RODELL M., BEAUDOING H.K., 2007. GLDAS Noah Land Surface Model L4 Monthly 1.0 x 1.0 degree V001. NASA/GSFC/HSL, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), https://disc.sci.gsfc.nasa.gov/uui/datasets/GLDAS_NOAH10_M_V001 [10 November 2016], DOI:10.5067/G6ON3ZR1EUIJ.
9. RODELL M., BEAUDOING H.K., 2007. GLDAS Noah Land Surface Model L4 Monthly 0.25 x 0.25 degree V001. NASA/GSFC/HSL, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), https://disc.sci.gsfc.nasa.gov/uui/datasets/GLDAS_NOAH025_M_V001 [10 November 2016], DOI:10.5067/7NP2052IA62C
10. Rodell M., Houser P.R., Jambor U., Gottschalck J., Mitchell K., Meng C.-J., Arsenault K., Cosgrove B., Radakovich J., Bosilovich M., Entin J. K, Walker J.P., Lohmann D., Toll D., 2004. The global land data assimilation system. Bulletin of the American Meteorological Society, vol. 85, no. 3, pp. 381-394.
https://doi.org/10.1175/BAMS-85-3-381 -
11. ROMANOWICZ R.J., NACHLIK E., JANUCHTA-SZOSTAK A., STARKEL L., KUNDZEWICZ Z.W., BYCZKOWSKI A., KOWALCZAK P., ŻELAZIŃSKI J., RADCZUK L., KOWALIK P., SZAMAŁEK K., 2014. Zagrożenia związane z nadmiarem wody. Nauka, no. 1, pp. 123-148.
12. RUI H., 2011. Read me document for Global Land Data Assimilation System V.1(GLDAS-1) Products. ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/GLDAS_V1/README.GLDAS.pdf [10 November 2016].
13. SCHNEIDER U., BECKER A., FINGER P., MEYER-CHRISTOFFER A., RUDOLF B., ZIESE M., 2015. GPCC Full Data Reanalysis Version 7.0 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data. DOI: 10.5676/DWD_GPCC/FD_M_V7_050.
https://doi.org/10.5676/DWD_GPCC/FD_M_V7_050 -
14. SCHNEIDER U., BECKER A., FINGER P., MEYER-CHRISTOFFER A., RUDOLF B., ZIESE M., 2015. GPCC Full Data Reanalysis Version 7.0 at 1.0°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data. DOI: 10.5676/DWD_GPCC/FD_M_V7_100.
15. SOMOROWSKA U., 2015. Detekcja glebowych zasobów wodnych w Polsce w latach 2000-2014 na podstawie mezoskalowych danych gridowych GLDAS [in:] D. Absalon, M. Matysik, M. Ruman (eds.), Nowoczesne metody i rozwiązania w hydrologii i gospodarce wodnej. Monografie Komisji Hydrologicznej PTG, no. 3, Sosnowiec: Polskie Towarzystwo Geograficzne. Oddział Katowicki, pp. 337-350.
16. Spennemann P.C., Rivera J.A., Celeste Saulo A., Penalba O.C., 2015. A comparison of GLDAS soil moisture anomalies against standardized precipitation index and multisatellite estimations over South America. Journal of Hydrometeorology, vol. 16, no. 1, pp. 158-171.
https://doi.org/10.1175/JHM-D-13-0190.1 -
17. Wu W.-Y., Lan C.-W., Lo M.-H., Reager J.T., Famiglietti J.S., 2015. Increases in the annual range of soil water storage at northern middle and high latitudes under global warming. Geophysical Research Letters, vol. 42, no. 10, pp. 3903-3910.
https://doi.org/10.1002/2015GL064110 -
18. Zawadzki J., Kędzior M.A., 2014. Statistical analysis of soil moisture content changes in Central Europe using GLDAS database over three past decades. Central European Journal of Geosciences, vol. 6, no. 3, pp. 344-353.
https://doi.org/10.2478/s13533-012-0176-x -

Relation:

Geographia Polonica

Volume:

90

Issue:

1

Start page:

53

End page:

64

Detailed Resource Type:

Article

Format:

File size 4 MB ; application/pdf

Resource Identifier:

oai:rcin.org.pl:61910 ; 0016-7282 ; 10.7163/GPol.0078

Source:

CBGiOS. IGiPZ PAN, call nos.: Cz.2085, Cz.2173, Cz.2406 ; click here to follow the link

Language:

eng

Rights:

Creative Commons Attribution BY-SA 3.0 PL license

Terms of use:

Copyright-protected material. [CC BY-SA 3.0 PL] May be used within the scope specified in Creative Commons Attribution BY-SA 3.0 PL license, full text available at: ; -

Digitizing institution:

Institute of Geography and Spatial Organization of the Polish Academy of Sciences

Original in:

Central Library of Geography and Environmental Protection. Institute of Geography and Spatial Organization PAS

Projects co-financed by:

European Union. European Regional Development Fund ; Programme Innovative Economy, 2010-2014, Priority Axis 2. R&D infrastructure

Access:

Open

×

Citation

Citation style:

This page uses 'cookies'. More information