-
1
-
-
84924120665
-
Input selection for long-lead precipitation prediction using large-scale climate variables: a case study
-
Ahmadi A., Han D., Kakaei Lafdani E., Moridi A. Input selection for long-lead precipitation prediction using large-scale climate variables: a case study. J. Hydroinf. 2015, 17(1):114. 10.2166/hydro.2014.138.
-
(2015)
J. Hydroinf.
, vol.17
, Issue.1
, pp. 114
-
-
Ahmadi, A.1
Han, D.2
Kakaei Lafdani, E.3
Moridi, A.4
-
2
-
-
84904904412
-
A multi-scale relevance vector regression approach for daily urban water demand forecasting
-
Bai Y., Wang P., Li C., Xie J., Wang Y. A multi-scale relevance vector regression approach for daily urban water demand forecasting. J. Hydrol. 2014, 517:236-245.
-
(2014)
J. Hydrol.
, vol.517
, pp. 236-245
-
-
Bai, Y.1
Wang, P.2
Li, C.3
Xie, J.4
Wang, Y.5
-
3
-
-
79952190499
-
Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds
-
Barshan E., Ghodsi A., Azimifar Z., Zolghadri Jahromi M. Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds. Pattern Recogn. 2011, 44(7):1357-1371. 10.1016/j.patcog.2010.12.015.
-
(2011)
Pattern Recogn.
, vol.44
, Issue.7
, pp. 1357-1371
-
-
Barshan, E.1
Ghodsi, A.2
Azimifar, Z.3
Zolghadri Jahromi, M.4
-
4
-
-
84862008126
-
Uncertainties in hydrologic and climate change impact analyses in headwater basins of British Columbia
-
Bennett K.E., Werner A.T., Schnorbus M. Uncertainties in hydrologic and climate change impact analyses in headwater basins of British Columbia. J. Clim. 2012, 25(17):5711-5730. 10.1175/jcli-d-11-00417.1.
-
(2012)
J. Clim.
, vol.25
, Issue.17
, pp. 5711-5730
-
-
Bennett, K.E.1
Werner, A.T.2
Schnorbus, M.3
-
5
-
-
84862827010
-
Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff
-
Chen H., Xu C.-Y., Guo S. Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff. J. Hydrol. 2012, 434:36-45.
-
(2012)
J. Hydrol.
, vol.434
, pp. 36-45
-
-
Chen, H.1
Xu, C.-Y.2
Guo, S.3
-
6
-
-
77950866077
-
Statistical downscaling of daily precipitation using support vector machines and multivariate analysis
-
Chen S.-T., Yu P.-S., Tang Y.-H. Statistical downscaling of daily precipitation using support vector machines and multivariate analysis. J. Hydrol. 2010, 385(1-4):13-22. 10.1016/j.jhydrol.2010.01.021.
-
(2010)
J. Hydrol.
, vol.385
, Issue.1-4
, pp. 13-22
-
-
Chen, S.-T.1
Yu, P.-S.2
Tang, Y.-H.3
-
7
-
-
84979904341
-
Constructing comprehensive datasets for understanding human and climate change impacts on hydrologic cycle
-
Dingbao Wang X.C. Constructing comprehensive datasets for understanding human and climate change impacts on hydrologic cycle. Irrigation Drainage Syst. Eng. 2013, 02(01). 10.4172/2168-9768.1000106.
-
(2013)
Irrigation Drainage Syst. Eng.
, vol.2
, Issue.1
-
-
Dingbao Wang, X.C.1
-
8
-
-
84869439488
-
HESS opinions "Should we apply bias correction to global and regional climate model data?"
-
Ehret U., Zehe E., Wulfmeyer V., Warrach-Sagi K., Liebert J. HESS opinions "Should we apply bias correction to global and regional climate model data?". Hydrol. Earth Syst. Sci. Discuss. 2012, 9(4):5355-5387.
-
(2012)
Hydrol. Earth Syst. Sci. Discuss.
, vol.9
, Issue.4
, pp. 5355-5387
-
-
Ehret, U.1
Zehe, E.2
Wulfmeyer, V.3
Warrach-Sagi, K.4
Liebert, J.5
-
9
-
-
35348933854
-
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling
-
Fowler H.J., Blenkinsop S., Tebaldi C. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol. 2007, 27(12):1547-1578. 10.1002/joc.1556.
-
(2007)
Int. J. Climatol.
, vol.27
, Issue.12
, pp. 1547-1578
-
-
Fowler, H.J.1
Blenkinsop, S.2
Tebaldi, C.3
-
10
-
-
36049032414
-
Statistical downscaling of GCM simulations to streamflow using relevance vector machine
-
Ghosh S., Mujumdar P. Statistical downscaling of GCM simulations to streamflow using relevance vector machine. Adv. Water Resour. 2008, 31(1):132-146.
-
(2008)
Adv. Water Resour.
, vol.31
, Issue.1
, pp. 132-146
-
-
Ghosh, S.1
Mujumdar, P.2
-
11
-
-
79953245252
-
Climate model bias correction and the role of timescales
-
Haerter J., Hagemann S., Moseley C., Piani C. Climate model bias correction and the role of timescales. Hydrol. Earth Syst. Sci. 2011, 15(3):1065-1079.
-
(2011)
Hydrol. Earth Syst. Sci.
, vol.15
, Issue.3
, pp. 1065-1079
-
-
Haerter, J.1
Hagemann, S.2
Moseley, C.3
Piani, C.4
-
12
-
-
84866690689
-
Predictor selection for downscaling GCM data with LASSO
-
n/a-n/a
-
Hammami D., Lee T.S., Ouarda T.B.M.J., Lee J. Predictor selection for downscaling GCM data with LASSO. Journal of Geophysical Research: Atmospheres 2012, (D17):117. n/a-n/a. 10.1029/2012jd017864.
-
(2012)
Journal of Geophysical Research: Atmospheres
, Issue.D17
, pp. 117
-
-
Hammami, D.1
Lee, T.S.2
Ouarda, T.B.M.J.3
Lee, J.4
-
13
-
-
0027042223
-
Large-scale atmospheric controls on local precipitation in tropical Mexico
-
Hewitson B.C., Crane R.G. Large-scale atmospheric controls on local precipitation in tropical Mexico. Geophys. Res. Lett. 2012, 19(18):1835-1838.
-
(2012)
Geophys. Res. Lett.
, vol.19
, Issue.18
, pp. 1835-1838
-
-
Hewitson, B.C.1
Crane, R.G.2
-
14
-
-
84863393620
-
A nesting model for bias correction of variability at multiple time scales in general circulation model precipitation simulations
-
Johnson F., Sharma A. A nesting model for bias correction of variability at multiple time scales in general circulation model precipitation simulations. Water Resour. Res. 2012, 48(1). 10.1029/2011wr010464.
-
(2012)
Water Resour. Res.
, vol.48
, Issue.1
-
-
Johnson, F.1
Sharma, A.2
-
15
-
-
84927931757
-
What are the impacts of bias correction on future drought projections?
-
Johnson F., Sharma A. What are the impacts of bias correction on future drought projections?. J. Hydrol. 2015, 525:472-485.
-
(2015)
J. Hydrol.
, vol.525
, pp. 472-485
-
-
Johnson, F.1
Sharma, A.2
-
16
-
-
84886093860
-
Data based comparison of sparse bayesian learning and multiple linear regression for statistical downscaling of low flow indices
-
Joshi D., St-Hilaire A., Daigle A., Ouarda T.B.M.J. Data based comparison of sparse bayesian learning and multiple linear regression for statistical downscaling of low flow indices. J. Hydrol. 2013, 488:136-149. 10.1016/j.jhydrol.2013.02.040.
-
(2013)
J. Hydrol.
, vol.488
, pp. 136-149
-
-
Joshi, D.1
St-Hilaire, A.2
Daigle, A.3
Ouarda, T.B.M.J.4
-
17
-
-
20844458468
-
Applicability of statistical learning algorithms in groundwater quality modeling
-
Khalil A., Almasri M.N., McKee M., Kaluarachchi J.J. Applicability of statistical learning algorithms in groundwater quality modeling. Water Resour. Res. 2005, 41(5).
-
(2005)
Water Resour. Res.
, vol.41
, Issue.5
-
-
Khalil, A.1
Almasri, M.N.2
McKee, M.3
Kaluarachchi, J.J.4
-
18
-
-
28444480680
-
Multiobjective analysis of chaotic dynamic systems with sparse learning machines
-
Khalil A.F., McKee M., Kemblowski M., Asefa T., Bastidas L. Multiobjective analysis of chaotic dynamic systems with sparse learning machines. Adv. Water Resour. 2006, 29(1):72-88. 10.1016/j.advwatres.2005.05.011.
-
(2006)
Adv. Water Resour.
, vol.29
, Issue.1
, pp. 72-88
-
-
Khalil, A.F.1
McKee, M.2
Kemblowski, M.3
Asefa, T.4
Bastidas, L.5
-
19
-
-
84911306428
-
Mathematical assessment of synthetic hydrology
-
Matalas N.C. Mathematical assessment of synthetic hydrology. Water Resour. Res. 1967, 3(4):937-945. 10.1029/WR003i004p00937.
-
(1967)
Water Resour. Res.
, vol.3
, Issue.4
, pp. 937-945
-
-
Matalas, N.C.1
-
20
-
-
84871386211
-
An improved standardization procedure to remove systematic low frequency variability biases in GCM simulations
-
n/a-n/a
-
Mehrotra R., Sharma A. An improved standardization procedure to remove systematic low frequency variability biases in GCM simulations. Water Resour. Res. 2012, 48(12). n/a-n/a. 10.1029/2012wr012446.
-
(2012)
Water Resour. Res.
, vol.48
, Issue.12
-
-
Mehrotra, R.1
Sharma, A.2
-
21
-
-
84913582771
-
Correcting for systematic biases in multiple raw GCM variables across a range of timescales
-
Mehrotra R., Sharma A. Correcting for systematic biases in multiple raw GCM variables across a range of timescales. J. Hydrol. 2015, 520:214-223. 10.1016/j.jhydrol.2014.11.037.
-
(2015)
J. Hydrol.
, vol.520
, pp. 214-223
-
-
Mehrotra, R.1
Sharma, A.2
-
22
-
-
84872272963
-
Dynamic Bayesian networks as a decision support tool for assessing climate change impacts on highly stressed groundwater systems
-
Molina J.-L., Pulido-Velázquez D., García-Aróstegui J.L., Pulido-Velázquez M. Dynamic Bayesian networks as a decision support tool for assessing climate change impacts on highly stressed groundwater systems. J. Hydrol. 2013, 479:113-129.
-
(2013)
J. Hydrol.
, vol.479
, pp. 113-129
-
-
Molina, J.-L.1
Pulido-Velázquez, D.2
García-Aróstegui, J.L.3
Pulido-Velázquez, M.4
-
23
-
-
49449117218
-
Modeling GCM and scenario uncertainty using a possibilistic approach: application to the Mahanadi River, India
-
Mujumdar P., Ghosh S. Modeling GCM and scenario uncertainty using a possibilistic approach: application to the Mahanadi River, India. Water Resour. Res. 2008, 44(6).
-
(2008)
Water Resour. Res.
, vol.44
, Issue.6
-
-
Mujumdar, P.1
Ghosh, S.2
-
24
-
-
84927640926
-
Multi-model ensemble analysis of runoff extremes for climate change impact assessments
-
(In Press)
-
Najafi M.R., Moradkhani H. Multi-model ensemble analysis of runoff extremes for climate change impact assessments. J. Hydrol. 2015, (In Press). 10.1016/j.jhydrol.2015.03.045.
-
(2015)
J. Hydrol.
-
-
Najafi, M.R.1
Moradkhani, H.2
-
25
-
-
84877320947
-
Performance assessment of different data mining methods in statistical downscaling of daily precipitation
-
Nasseri M., Tavakol-Davani H., Zahraie B. Performance assessment of different data mining methods in statistical downscaling of daily precipitation. J. Hydrol. 2013, 492:1-14. 10.1016/j.jhydrol.2013.04.017.
-
(2013)
J. Hydrol.
, vol.492
, pp. 1-14
-
-
Nasseri, M.1
Tavakol-Davani, H.2
Zahraie, B.3
-
26
-
-
84881347138
-
Assessing severe drought and wet events over india in a future climate using a nested bias-correction approach
-
Ojha R., Nagesh Kumar D., Sharma A., Mehrotra R. Assessing severe drought and wet events over india in a future climate using a nested bias-correction approach. J. Hydrol. Eng. 2013, 18(7):760-772. 10.1061/(asce)he.1943-5584.0000585.
-
(2013)
J. Hydrol. Eng.
, vol.18
, Issue.7
, pp. 760-772
-
-
Ojha, R.1
Nagesh Kumar, D.2
Sharma, A.3
Mehrotra, R.4
-
27
-
-
84959433270
-
Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios
-
Okkan U., Inan G. Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios. Int. J. Climatol. 2014.
-
(2014)
Int. J. Climatol.
-
-
Okkan, U.1
Inan, G.2
-
28
-
-
84899447875
-
Support vector machine applications in the field of hydrology: a review
-
Sujay Raghavendra N., Deka P.C. Support vector machine applications in the field of hydrology: a review. Appl. Soft Comput. 2014, 19:372-386. 10.1016/j.asoc.2014.02.002.
-
(2014)
Appl. Soft Comput.
, vol.19
, pp. 372-386
-
-
Sujay Raghavendra, N.1
Deka, P.C.2
-
29
-
-
84919480153
-
Assessing atmospheric bias correction for dynamical consistency using potential vorticity
-
Rocheta E., Evans J., Sharma A. Assessing atmospheric bias correction for dynamical consistency using potential vorticity. Environ. Res. Lett. 2014, 9(12). 10.1088/1748-9326/9/12/124010.
-
(2014)
Environ. Res. Lett.
, vol.9
, Issue.12
-
-
Rocheta, E.1
Evans, J.2
Sharma, A.3
-
30
-
-
84895777332
-
How well do general circulation models represent low frequency rainfall variability?
-
Rocheta E., Sugiyanto M., Johnson F., Evans J., Sharma A. How well do general circulation models represent low frequency rainfall variability?. Water Resour. Res. 2014, 50(3):2108-2123. 10.1002/2012WR013085.
-
(2014)
Water Resour. Res.
, vol.50
, Issue.3
, pp. 2108-2123
-
-
Rocheta, E.1
Sugiyanto, M.2
Johnson, F.3
Evans, J.4
Sharma, A.5
-
32
-
-
85026936282
-
Advances in projection of climate change impacts using supervised nonlinear dimensionality reduction techniques
-
submitted for publication.
-
Sarhadi A., Burn H.D., Yang G., Ghodsi A. Advances in projection of climate change impacts using supervised nonlinear dimensionality reduction techniques. Climate Dyn. 2015, submitted for publication.
-
(2015)
Climate Dyn.
-
-
Sarhadi, A.1
Burn, H.D.2
Yang, G.3
Ghodsi, A.4
-
33
-
-
84885335194
-
Heavy precipitation events in a warmer climate: results from CMIP5 models
-
Scoccimarro E., Gualdi S., Bellucci A., Zampieri M., Navarra A. Heavy precipitation events in a warmer climate: results from CMIP5 models. J. Clim. 2013, 26(20):7902-7911. 10.1175/jcli-d-12-00850.1.
-
(2013)
J. Clim.
, vol.26
, Issue.20
, pp. 7902-7911
-
-
Scoccimarro, E.1
Gualdi, S.2
Bellucci, A.3
Zampieri, M.4
Navarra, A.5
-
34
-
-
84918813101
-
Comparing statistically downscaled simulations of Indian monsoon at different spatial resolutions
-
Shashikanth K., et al. Comparing statistically downscaled simulations of Indian monsoon at different spatial resolutions. J. Hydrol. 2014, 519:3163-3177. 10.1016/j.jhydrol.2014.10.042.
-
(2014)
J. Hydrol.
, vol.519
, pp. 3163-3177
-
-
Shashikanth, K.1
-
35
-
-
65449139416
-
A nested multisite daily rainfall stochastic generation model
-
Srikanthan R., Pegram G.G.S. A nested multisite daily rainfall stochastic generation model. J. Hydrol. 2009, 371(1):142-153. 10.1016/j.jhydrol.2009.03.025.
-
(2009)
J. Hydrol.
, vol.371
, Issue.1
, pp. 142-153
-
-
Srikanthan, R.1
Pegram, G.G.S.2
-
37
-
-
0001224048
-
Sparse bayesian learning and the relevance vector
-
Tipping M.E. Sparse bayesian learning and the relevance vector. J. Mach. Learning Res. 2001, 1:211-244.
-
(2001)
J. Mach. Learning Res.
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
38
-
-
77950946426
-
Statistical downscaling of river flows
-
Tisseuil C., Vrac M., Lek S., Wade A.J. Statistical downscaling of river flows. J. Hydrol. 2010, 385(1-4):279-291. 10.1016/j.jhydrol.2010.02.030.
-
(2010)
J. Hydrol.
, vol.385
, Issue.1-4
, pp. 279-291
-
-
Tisseuil, C.1
Vrac, M.2
Lek, S.3
Wade, A.J.4
-
39
-
-
33750018142
-
Downscaling of precipitation for climate change scenarios: a support vector machine approach
-
Tripathi S., Srinivas V., Nanjundiah R.S. Downscaling of precipitation for climate change scenarios: a support vector machine approach. J. Hydrol. 2006, 330(3):621-640.
-
(2006)
J. Hydrol.
, vol.330
, Issue.3
, pp. 621-640
-
-
Tripathi, S.1
Srinivas, V.2
Nanjundiah, R.S.3
-
41
-
-
84926218608
-
Reliability of CMIP5 GCM simulations in reproducing atmospheric circulation over Europe and the North Atlantic: a statistical downscaling perspective
-
Wójcik R. Reliability of CMIP5 GCM simulations in reproducing atmospheric circulation over Europe and the North Atlantic: a statistical downscaling perspective. Int. J. Climatol. 2015, 35(5):714-732. 10.1002/joc.4015.
-
(2015)
Int. J. Climatol.
, vol.35
, Issue.5
, pp. 714-732
-
-
Wójcik, R.1
|