Comparison and evaluation of spatial interpolation schemes for daily rainfall in data scarce regions

Journal of Hydrology

Volumn 464-465, Issue , 2012, Pages 388-400

  Wagner, Paul D ^a   Fiener, Peter ^a,b   Wilken, Florian ^a   Kumar, Shamita ^c   Schneider, Karl ^a  

^a UNIVERSITY OF COLOGNE   (Germany)

^b INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^c BHARATI VIDYAPEETH UNIVERSITY   (India)

Author keywords

India; Interpolation; Kriging; Rainfall; SWAT; TRMM

Indexed keywords

ANNUAL RAINFALL; COVARIATES; CROSS VALIDATION; DAILY RAINFALL; ENVIRONMENTAL APPLICATIONS; GEOSTATISTICAL APPROACH; HIGH RESOLUTION; HYDROLOGIC MODELS; INDIA; INTERPOLATION METHOD; INTERPOLATION SCHEMES; KRIGING; MESOSCALE; OROGRAPHIC BARRIERS; POINT MEASUREMENT; PRECIPITATION AND RUNOFF; RAIN GAUGES; RAINFALL DATA; RAINFALL INTERPOLATION; RAINFALL MEASUREMENTS; SATELLITE DATA; SIGNIFICANT IMPACTS; SPATIAL INTERPOLATION; SPATIAL RAINFALL; SWAT; TRMM; TROPICAL RAINFALL MEASURING MISSIONS; VALIDATION APPROACH; WIND DIRECTIONS;

CATCHMENTS; INTERPOLATION; QUALITY CONTROL; RAIN GAGES; REGRESSION ANALYSIS; RUNOFF; SPATIAL DISTRIBUTION;

RAIN;

COMPARATIVE STUDY; DATA SET; INTERPOLATION; KRIGING; RAINFALL; RAINFALL-RUNOFF MODELING; RAINGAUGE; REGRESSION ANALYSIS; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION; TRMM;

INDIA; MAHARASHTRA; MULA BASIN; MUTHA BASIN; PUNE;

EID: 84866167718     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.07.026     Document Type: Article

References (61)

1. Arnold J.G., Srinivasan R., Muttiah R.S., Williams J.R. Large area hydrologic modeling and assessment - Part 1: Model development. J. Am. Water Resour. Assoc. 1998, 34:73-89.
2. Barros A.P., Lettenmaier D.P. Dynamic modeling of the spatial distribution of precipitation in remote mountainous areas. Mon. Weather Rev. 1993, 121:1195-1214.
3. Barry R.G. Mountain climatology and past and potential future climatic changes in mountain regions. Mt. Res. Dev. 1992, 12(1):71-86.
4. Basistha A., Arya D.S., Goel N.K. Spatial distribution of rainfall in Indian Himalayas-a case study of Uttarakhand Region. Water Resour. Manage 2008, 22:1325-1346.
5. Beven K.J. Rainfall-runoff Modelling: The Primer 2001, John Wiley & Sons Ltd., Chichester.
6. Burrough P.A., McDonnell R.A. Principles of Geographical Information Systems 1998, Oxford University Press, Oxford.
7. Buytaert W., Celleri R., Willems P., De Bièvre B., Wyseure G. Spatial and temporal rainfall variability in mountainous areas: a case study from the south Ecuadorian Andes. J. Hydrol. 2006, 329:413-421.
8. Carrera-Hernández J.J., Gaskin S.J. Spatio temporal analysis of daily precipitation and temperature in the Basin of Mexico. J. Hydrol. 2007, 336:231-249.
9. Chaubey I., Haan C.T., Salisbury J.M., Grunwald S. Quantifying model output uncertainty due to the spatial variability of rainfall. J. Am. Water Resour. Assoc. 1999, 35(5):1113-1123.
10. Cheng K.-S., Lin Y.-C., Liou J.-J. Rain-gauge network evaluation and augmentation using geostatistics. Hydrol. Process. 2008, 22:2554-2564.
11. Cole S.J., Moore R.J. Hydrological modeling using raingauge- and radar-based estimators of areal rainfall. J. Hydrol. 2008, 358:159-181.
12. Croke B.F.W., Islam A., Ghosh J., Khan M.A. Evaluation of approaches for estimation of rainfall and the unit hydrograph. Hydrol. Res. 2011, 42(5):372-385.
13. Di Piazza A., Lo Conti F., Noto L.V., Viola F., La Loggia G. Comparative analysis of different techniques for spatial interpolation of rainfall data to create a serially complete monthly time series of precipitation for Sicily, Italy. Int. J. Appl. Earth Obs. Geoinf. 2011, 13:396-408.
14. Fiener P., Auerswald K. Spatial variability of rainfall on a sub-kilometre scale. Earth Surf. Process. Landforms 2009, 34:848-859.
15. Fontaine T.A., Cruickshank T.S., Arnold J.G., Hotchkiss R.H. Development of a snowfall-snowmelt routine for mountainous terrain for the soil water assessment tool (SWAT). J. Hydrol. 2002, 262:209-223.
16. Food and Agriculture Organization of the United Nations (FAO), 2003. Digital Soil Map of the World and Derived Soil Properties, FAO, Rome.
17. Gadgil A. Rainfall characteristics of Maharashtra. Geography of Maharashtra 2002, 89-102. Rawat Publications, Jaipur. J. Diddee, S.R. Jog, V.S. Kale, V.S. Datye (Eds.).
18. Goovaerts P. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. J. Hydrol. 2000, 228:113-129.
19. Gosain A.K., Rao S., Srinivasan R., Reddy N.G. Return-flow assessment for irrigation command in the Palleru river basin using SWAT model. Hydrol. Process. 2005, 19:673-682.
20. Gourley J.J., Vieux B.E. A method for evaluating the accuracy of quantitative precipitation estimates from a hydrologic modeling perspective. J. Hydrometeorol. 2005, 6(2):115-133.
21. Gunnell Y. Relief and climate in South Asia: the influence of the Western Ghats on the current climate pattern of peninsular India. Int. J. Climatol. 1997, 17:1169-1182.
22. Hattermann F., Krysanova V., Wechsung F., Wattenbach M. Runoff simulations on the macroscale with the ecohydrological model SWIM in the Elbe catchment - validation and uncertainty analysis. Hydrol. Process. 2005, 19:693-714.
23. Heistermann M., Kneis D. Benchmarking quantitative precipitation estimation by conceptual rainfall-runoff modeling. Water Resour. Res. 2011, 47:W06514.
24. Hengl T., Heuvelink G.B.M., Rossiter D.G. About regression-kriging: from equations to case studies. Comput. Geosci. 2007, 33:1301-1315.
25. Hwang Y., Clark M., Rajagopalan B., Leavesley G. Spatial interpolation schemes of daily precipitation for hydrologic modeling. Stoch. Environ. Res. Risk Assess. 2012, 26:295-320.
26. Immerzeel W.W., Gaur A., Zwart S.J. Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment. Agric. Water Manage. 2008, 95:11-24.
27. Jain S.K., Agarwal P.K., Singh V.P. Hydrology and Water Resources of India 2007, Springer, Dordrecht.
28. Kidd C., McGregor G. Observation and characterisation of rainfall over Hawaii and surrounding region from the Tropical Rainfall Measuring Mission. Int. J. Climatol. 2007, 27(4):541-553.
29. Kummerow C., Simpson J., Thiele O., Barnes W., Chang A.T.C., Stocker E., Adler R.F., Hou A., Kaker R., Wentz F., Ashcroft P., Kozu T., Hong Y., Okamoto K., Iguchi T., Kuroiwa H., Im E., Haddad Z., Huffman G., Ferrier B., Olson W.S., Zipser E., Smith E.A., Wilheit T.T., North G., Krishnamurti T., Nakamura K. The status of the tropical rainfall measuring mission (TRMM) after two years in orbit. J. Appl. Meteorol. 2000, 39:1965-1982.
30. Kurtzman D., Navon S., Morin E. Improving interpolation of daily precipitation for hydrologic modelling: spatial patterns of preferred interpolators. Hydrol. Process. 2009, 23:3281-3291.
31. Lloyd C.D. Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain. J. Hydrol. 2005, 308:128-150.
32. Ly S., Charles C., Degré A. Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium. Hydrol. Earth Syst. Sci. 2011, 15:2259-2274.
33. Mauser W., Bach H. PROMET - large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds. J. Hydrol. 2009, 376:362-377.
34. Moriasi D.N., Arnold J.G., Van Liew M.W., Bingner R.L., Harmel R.D., Veith T.L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 2007, 50(3):885-900.
35. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models part I - a discussion of principles. J. Hydrol. 1970, 10:282-290.
36. Ndomba P., Mtalo F., Killingtveit A. SWAT model application in a data scarce tropical complex catchment in Tanzania. Phys. Chem. Earth 2008, 33:626-632.
37. Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Srinivasan, R., Williams, J.R., 2010. Soil and Water Assessment Tool: Input/Output File Documentation, Version 2009. Texas Water Resources Institute, Texas A&M University, College Station, Texas.
38. Pebesma E.J. Multivariable geostatistics in S: the gstat package. Comput. Geosci. 2004, 30:683-691.
39. R Development Core Team, 2011. R: A Language and Environment for Statistical Computing. Ver. 2.13.0. R Foundation for Statistical Computing, Vienna.
40. Richter, D., 1995. Ergebnisse methodischer Untersuchungen zur Korrektur des systematischen Meßfehlers des Hellmann-Niederschlagmessers. Berichte des Deutschen Wetterdienstes 194, Offenbach.
41. Schiemann R., Erdin R., Willi M., Frei C., Berenguer M., Sempere-Torres D. Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland. Hydrol. Earth Syst. Sci. 2011, 15:1515-1536.
42. Schuurmans J.M., Bierkens M.F.P., Pebesma E.J., Uijlenhoet R. Automatic prediction of high-resolution daily rainfall fields for multiple extents: the potential of operational radar. J. Hydrometeorol. 2007, 8(6):1204-1224.
43. Searcy, J.K., Hardison, C.H., Langbein, W.B., 1960. Double mass curves. Geological Survey Water Supply Paper 1541-B. US Geological Survey, Washington DC.
44. Shepard D. A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 1968 23rd ACM National Conference. August 27-29 1968, 517-524. ACM Press, New York. R.B. Blue, A.M. Rosenberg (Eds.).
45. Srinivasan R., Zhang X., Arnold J.G. SWAT ungauged: hydrological budget and crop yield predictions in the upper Mississippi river basin. Trans. ASABE 2010, 53(5):1533-1546.
46. Stehr A., Debels P., Romero F., Alcayaga H. Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study. Hydrol. Sci. J. 2008, 53:588-601.
47. Stein M.L. Interpolation of Spatial Data: Some Theory for Kriging 1999, Springer, New York.
48. Strauch M., Bernhofer C., Koide S., Volk M., Lorz C., Makeschin F. Using precipitation data ensemble for uncertainty analysis in SWAT streamflow simulation. J. Hydrol. 2012, 414-415:413-424.
49. Tabios G.Q., Salas J.D. A comparative analysis of techniques for spatial interpolation of precipitation. J. Am. Water Resour. Assoc. 1985, 21:365-380.
50. Teegavarapu R.S.V., Tufail M., Ormsbee L. Optimal functional forms for estimation of missing precipitation data. J. Hydrol. 2009, 374:106-115.
51. Thiessen A.H. Precipitation averages for large areas. Mon. Weather Rev. 1911, 39(7):1082-1084.
52. Velasco-Forero C.A., Sempere-Torres D., Cassiraga E.F., Gómez-Hernández J.J. A non-parametric automatic blending methodology to estimate rainfall fields from rain gauge and radar data. Adv. Water Resour. 2009, 32:986-1002.
53. Verworn A., Haberlandt U. Spatial interpolation of hourly rainfall - effect of additional information, variogram inference and storm properties. Hydrol. Earth Syst. Sci. 2011, 15:569-584.
54. Voltz M., Webster R. A comparison of kriging, cubic splines and classification for predicting soil properties from sample information. J. Soil Sci. 1990, 41:473-490.
55. Wackernagel H. Multivariate Geostatistics: An Introduction with Applications 2003, Springer, New York. third ed.
56. Wagner P.D., Kumar S., Fiener P., Schneider K. Hydrological modeling with SWAT in a monsoon-driven environment: experience from the Western Ghats. India. Trans. ASABE 2011, 54(5):1783-1790.
57. Webster R., Oliver M.A. Geostatistics for Environmental Scientists 2007, John Wiley & Sons Ltd., Chichester. second ed.
58. Weischet W. Einführung in Die Allgemeine Klimatologie 1995, Teubner, Stuttgart. sixth ed.
59. Winchell, M., Srinivasan, R., Di Luzio, M., Arnold, J., 2010. ArcSWAT Interface for SWAT2009. User's Guide. Blackland Research Center, Texas Agricultural Experiment Station and Grassland, Soil and Water Research Laboratory, USDA Agricultural Research Service, Temple, Texas.
60. Zhang X., Srinivasan R. GIS-based spatial precipitation estimation: a comparison of geostatistical approaches. J. Am. Water Resour. Assoc. 2009, 45(4):894-906.
61. Zhang X., Srinivasan R., Debele B., Hao F. Runoff simulation of the headwaters of the Yellow River using the SWAT model with three snowmelt algorithms. J. Am. Water Resour. Assoc. 2008, 44(1):48-61.