300
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Goovaerts, P. (2000). Geostatistical approaches for incorporating elevation into the spatial
interpolation of precipitation. Journal of Hydrology, 228, 113–129.
Haberlandt, U. (2007). Geostatistical interpolation of hourly precipitation from rain gauges and
radar for a large-scale extreme precipitation event. Journal of Hydrology, 332, 144–157.
Habib, E., Larson, F. B., and Graschel, J. (2009). Validation of NEXRAD multisensor preF. B., and Graschel, J. (2009). Validation of NEXRAD multisensor preB., and Graschel, J. (2009). Validation of NEXRAD multisensor preB., and Graschel, J. (2009). Validation of NEXRAD multisensor pre, and Graschel, J. (2009). Validation of NEXRAD multisensor preand Graschel, J. (2009). Validation of NEXRAD multisensor preand Graschel, J. (2009). Validation of NEXRAD multisensor pre, J. (2009). Validation of NEXRAD multisensor preJ. (2009). Validation of NEXRAD multisensor preJ. (2009). Validation of NEXRAD multisensor pre(2009). Validation of NEXRAD multisensor precipitation estimates using an experimental dense rain gauge network in south Louisiana.
Journal of Hydrology, 373, 463–478.
Hanson, C. L. (2001). Long-term precipitation database, Reynolds Creek Experimental
Watershed, Idaho, United States. Water Resources Research, 37, 2831–2834.
Hardegree, S. P., Van Vactor, S. S., Levinson, D. H., and Winstral, A. H. (2008). Evaluation
of NEXRAD radar precipitation products for natural resource applications. Rangeland
Ecology and Management, 61, 346–353.
Hasenauer, H., Merganicova, K., Petritsch, R., Pietsch, S. A., and Thornton, P. E. (2003).
Validating daily climate interpolation over complex terrain in Austria. Agricultural
Forestry Meteorology, 119, 87–107.
Hengl, T., Heuvelink, G. B. M., and Stein, A. (2004). A generic framework for spatial predicG. B. M., and Stein, A. (2004). A generic framework for spatial predicB. M., and Stein, A. (2004). A generic framework for spatial predicB. M., and Stein, A. (2004). A generic framework for spatial predicM., and Stein, A. (2004). A generic framework for spatial predicM., and Stein, A. (2004). A generic framework for spatial predic, and Stein, A. (2004). A generic framework for spatial predicand Stein, A. (2004). A generic framework for spatial predicand Stein, A. (2004). A generic framework for spatial predicA. (2004). A generic framework for spatial predic(2004). A generic framework for spatial predicA generic framework for spatial prediction of soil variables based on regression-kriging. Geoderma, 120, 75–93.
Isaaks, E. H. and Srivastava, R. M. (1989). Applied Geostatistics. Oxford University Press,
New York.
Jayakrishnan, R., Srinivasan, R., and Arnold, J. G. (2004). Comparison of rain gauge and WSR88D Stage III precipitation data over the Texas-Gulf River Basin. Journal of Hydrology,
292, 135–152.
Kennedy, J. and Eberhart, R. C. (2001). Swarm Intelligence. Morgan Kaufmann, San Mateo, CA.
Kitanidis, P. (1994). Generalized covariance functions in estimation. Mathematical Geology,
25, 525–540.
Kitchen, M. and Blackall, R. M. (1992). Representativeness errors in comparisons between
radar and gauge measurements of precipitation. Journal of Hydrology, 134, 13–33.
Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model
selection. International Joint Conference on Artificial Intelligence, 14, 1137–1145.
Krajewski, W. F. and Smith, J. A. (2002). Radar hydrology: Precipitation estimation. Advances
in Water Resources, 25, 387–1394.
Krajewski, W. F., Ciach, G. J., and Habib, E. (2003). An analysis of small-scale precipitation variG. J., and Habib, E. (2003). An analysis of small-scale precipitation variJ., and Habib, E. (2003). An analysis of small-scale precipitation variJ., and Habib, E. (2003). An analysis of small-scale precipitation vari, and Habib, E. (2003). An analysis of small-scale precipitation variand Habib, E. (2003). An analysis of small-scale precipitation variand Habib, E. (2003). An analysis of small-scale precipitation variE. (2003). An analysis of small-scale precipitation vari(2003). An analysis of small-scale precipitation variability in different climatological regimes. Hydrological Sciences Journal, 48, 151–162.
Krajewski, W. F., Kruger, A., Smith, J. A., Lawrence, R., Gunyon, C., Goska, R., Seo, B.-C.,
Domaszczynski, P., Baeck, M. L., Ramamurthy, M. K., Weber, J., Bradley, A. A., DelGreco,
S. A., and Steiner, M. (2011). Towards better utilization of NEXRAD data in hydrology:
An overview of Hydro-NEXRAD. Journal of Hydroinformatics, 13(2), 255–266.
Li, B., Eriksson, M., Srinivasan, R., and Sherman, M. (2008). A geostatistical method for
Texas NexRad data calibration. Environmetrics, 19, 1–19.
MATLAB (2007). MATLAB Technical Documentation. The MathWorks Inc., Natick, MA.
Nash, J. E. and Sutcliffe, J. V. (1970). River flow forecasting through conceptual models—Part
I: A discussion of principles. Journal of Hydrology, 10, 282–290.
Phillips, D. L., Dolph, J., and Marks, D. (1992). A comparison of geostatistical procedures
for spatial analysis of precipitation in mountainous terrain. Agricultural Forestry
Meteorology, 58, 119–141.
Reed, S. M. and Maidment, D. R. (1999). Coordinate transformations for using NEXRAD data
in GIS-based hydrologic modeling. Journal of Hydrologic Engineering, 4, 174–182.
Seo, D. J. (1998). Real-time estimation of precipitation fields using radar precipitation and
raingauge data. Journal of Hydrology, 208, 37–52.
Seo, D. J. and Breidenbach, J. P. (2002). Real-time correction of spatially nonuniform bias in
radar precipitation data using raingauge measurements. Journal of Hydrometeorology,
3, 93–111.
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Goovaerts, P. (2000). Geostatistical approaches for incorporating elevation into the spatial
interpolation of precipitation. Journal of Hydrology, 228, 113–129.
Haberlandt, U. (2007). Geostatistical interpolation of hourly precipitation from rain gauges and
radar for a large-scale extreme precipitation event. Journal of Hydrology, 332, 144–157.
Habib, E., Larson, F. B., and Graschel, J. (2009). Validation of NEXRAD multisensor preF. B., and Graschel, J. (2009). Validation of NEXRAD multisensor preB., and Graschel, J. (2009). Validation of NEXRAD multisensor preB., and Graschel, J. (2009). Validation of NEXRAD multisensor pre, and Graschel, J. (2009). Validation of NEXRAD multisensor preand Graschel, J. (2009). Validation of NEXRAD multisensor preand Graschel, J. (2009). Validation of NEXRAD multisensor pre, J. (2009). Validation of NEXRAD multisensor preJ. (2009). Validation of NEXRAD multisensor preJ. (2009). Validation of NEXRAD multisensor pre(2009). Validation of NEXRAD multisensor precipitation estimates using an experimental dense rain gauge network in south Louisiana.
Journal of Hydrology, 373, 463–478.
Hanson, C. L. (2001). Long-term precipitation database, Reynolds Creek Experimental
Watershed, Idaho, United States. Water Resources Research, 37, 2831–2834.
Hardegree, S. P., Van Vactor, S. S., Levinson, D. H., and Winstral, A. H. (2008). Evaluation
of NEXRAD radar precipitation products for natural resource applications. Rangeland
Ecology and Management, 61, 346–353.
Hasenauer, H., Merganicova, K., Petritsch, R., Pietsch, S. A., and Thornton, P. E. (2003).
Validating daily climate interpolation over complex terrain in Austria. Agricultural
Forestry Meteorology, 119, 87–107.
Hengl, T., Heuvelink, G. B. M., and Stein, A. (2004). A generic framework for spatial predicG. B. M., and Stein, A. (2004). A generic framework for spatial predicB. M., and Stein, A. (2004). A generic framework for spatial predicB. M., and Stein, A. (2004). A generic framework for spatial predicM., and Stein, A. (2004). A generic framework for spatial predicM., and Stein, A. (2004). A generic framework for spatial predic, and Stein, A. (2004). A generic framework for spatial predicand Stein, A. (2004). A generic framework for spatial predicand Stein, A. (2004). A generic framework for spatial predicA. (2004). A generic framework for spatial predic(2004). A generic framework for spatial predicA generic framework for spatial prediction of soil variables based on regression-kriging. Geoderma, 120, 75–93.
Isaaks, E. H. and Srivastava, R. M. (1989). Applied Geostatistics. Oxford University Press,
New York.
Jayakrishnan, R., Srinivasan, R., and Arnold, J. G. (2004). Comparison of rain gauge and WSR88D Stage III precipitation data over the Texas-Gulf River Basin. Journal of Hydrology,
292, 135–152.
Kennedy, J. and Eberhart, R. C. (2001). Swarm Intelligence. Morgan Kaufmann, San Mateo, CA.
Kitanidis, P. (1994). Generalized covariance functions in estimation. Mathematical Geology,
25, 525–540.
Kitchen, M. and Blackall, R. M. (1992). Representativeness errors in comparisons between
radar and gauge measurements of precipitation. Journal of Hydrology, 134, 13–33.
Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model
selection. International Joint Conference on Artificial Intelligence, 14, 1137–1145.
Krajewski, W. F. and Smith, J. A. (2002). Radar hydrology: Precipitation estimation. Advances
in Water Resources, 25, 387–1394.
Krajewski, W. F., Ciach, G. J., and Habib, E. (2003). An analysis of small-scale precipitation variG. J., and Habib, E. (2003). An analysis of small-scale precipitation variJ., and Habib, E. (2003). An analysis of small-scale precipitation variJ., and Habib, E. (2003). An analysis of small-scale precipitation vari, and Habib, E. (2003). An analysis of small-scale precipitation variand Habib, E. (2003). An analysis of small-scale precipitation variand Habib, E. (2003). An analysis of small-scale precipitation variE. (2003). An analysis of small-scale precipitation vari(2003). An analysis of small-scale precipitation variability in different climatological regimes. Hydrological Sciences Journal, 48, 151–162.
Krajewski, W. F., Kruger, A., Smith, J. A., Lawrence, R., Gunyon, C., Goska, R., Seo, B.-C.,
Domaszczynski, P., Baeck, M. L., Ramamurthy, M. K., Weber, J., Bradley, A. A., DelGreco,
S. A., and Steiner, M. (2011). Towards better utilization of NEXRAD data in hydrology:
An overview of Hydro-NEXRAD. Journal of Hydroinformatics, 13(2), 255–266.
Li, B., Eriksson, M., Srinivasan, R., and Sherman, M. (2008). A geostatistical method for
Texas NexRad data calibration. Environmetrics, 19, 1–19.
MATLAB (2007). MATLAB Technical Documentation. The MathWorks Inc., Natick, MA.
Nash, J. E. and Sutcliffe, J. V. (1970). River flow forecasting through conceptual models—Part
I: A discussion of principles. Journal of Hydrology, 10, 282–290.
Phillips, D. L., Dolph, J., and Marks, D. (1992). A comparison of geostatistical procedures
for spatial analysis of precipitation in mountainous terrain. Agricultural Forestry
Meteorology, 58, 119–141.
Reed, S. M. and Maidment, D. R. (1999). Coordinate transformations for using NEXRAD data
in GIS-based hydrologic modeling. Journal of Hydrologic Engineering, 4, 174–182.
Seo, D. J. (1998). Real-time estimation of precipitation fields using radar precipitation and
raingauge data. Journal of Hydrology, 208, 37–52.
Seo, D. J. and Breidenbach, J. P. (2002). Real-time correction of spatially nonuniform bias in
radar precipitation data using raingauge measurements. Journal of Hydrometeorology,
3, 93–111.