Cooperative Institute for Research in Environmental Sciences

Balaji Rajagopalan

Balaji Rajagopalan

Research Interests

My main research program is a diverse and interdisciplinary effort to enable sustainable water quantity and quality for the growing populations under increasing climate variability and change. This entails three interconnected themes: (i) Understanding the large-scale climate drivers of year-to-year and multidecadal variability and predictability of regional hydroclimatology and their extremes, (ii) Developing ensemble hydroclimate projection tools with large-scale climate information and, (iii) Coupling the projections with resources management and decision support system. In addition, I have keen interests in paleo and contemporary variability of Indian monsoon, big-data analysis and modeling techniques, water and wastewater quality, construction safety and building energy efficiency.

Current Research

  • Understanding and reconstructing the variability of Indian monsoon and hydrology and, tropical Pacific sea surface temperatures during Holocene
  • Spatial and temporal variability of summer rainfall over southwestern U.S
  • Impact of droughts on response to drinking water quality mediated through watershed changes
  • Wastewater quality (nutrient) modeling using statistical learning techniques, exploring the potential for nutrient trading, centralized and decentralized systems
  • Lessons from the rise and fall of past societies in response to climate variations, for applications to contemporary natural resource management problems
  • Improving ensemble precipitation forecasts at subseasonal time scales for enhancing the skill of hydrologic forecasts
  • Modeling climate extremes under current and future climate variability at selected National Parks, to mitigate risk of park infrastructure
  • Space-time variability of Arctic sea-ice – understanding and predicting the various attributes

Figure 1. Correlation maps of Indian rainfall with moist static energy (MSE) and sea surface temperatures (SST). Full caption in DOI: 10.1002/2014GL060429

Figure 2. Observed, modeled, and forecasted standardized rainfall anomalies. Full caption in DOI: 10.1002/2014GL060429

View Publications

  • Tixier, AJP, MR Hallowell, B Rajagopalan and D Bowman (2017), Construction Safety Clash Detection: Identifying Safety Incompatibilities among Fundamental Attributes using Data Mining. Autom. Constr. Version: 1 74 39-54, issn: 0926-5805, ids: EI2YK, doi: 10.1016/j.autcon.2016.11.001
  • Yanto, B Livneh and B Rajagopalan (2017), Development of a gridded meteorological dataset over Java island, Indonesia 1985-2014. Sci. Data Version: 1 4 , Art. No. 170072, issn: 2052-4463, ids: EV6AP, doi: 10.1038/sdata.2017.72, PubMed ID: 28534871
  • Suchetana, B, B Rajagopalan and J Silverstein (2017), Assessment of wastewater treatment facility compliance with decreasing ammonia discharge limits using a regression tree model. Sci. Total Environ. Version: 1 598 249-257, issn: 0048-9697, ids: EZ1XL, doi: 10.1016/j.scitotenv.2017.03.236, PubMed ID: 28441603
  • Sapin, J, B Rajagopalan, L Saito and RJ Caldwell (2017), A K-Nearest neighbor based stochastic multisite flow and stream temperature generation technique. Environ. Model. Software Version: 1 91 87-94, issn: 1364-8152, ids: ES9HT, doi: 10.1016/j.envsoft.2017.02.005
  • Gill, EC, B Rajagopalan, PH Molnar, Y Kushnir and TM Marchitto (2017), Reconstruction of Indian summer monsoon winds and precipitation over the past 10,000 years using equatorial pacific SST proxy records. Paleoceanography Version: 1 32 (2) 195-216, issn: 0883-8305, ids: EO6WG, doi: 10.1002/2016PA002971
  • Sawant, AC, K Josey, ME Plomondon, TM Maddox, A Bhardwaj, V Singh, B Rajagopalan, Z Said, DL Bhatt and J Corbelli (2017), Temporal Trends, Complications, and Predictors of Outcomes Among Nonagenarians Undergoing Percutaneous Coronary Intervention Insights From the Veterans Affairs Clinical Assessment, Reporting, and Tracking Program. JACC-Cardiovasc. Interv. Version: 1 10 (13) 1295-1303, issn: 1936-8798, ids: EZ2MD, doi: 10.1016/j.jcin.2017.03.051
  • Tixier, AJP, MR Hallowell, B Rajagopalan and D Bowman (2016), Application of machine learning to construction injury prediction. Autom. Constr. Version: 1 69 102-114, issn: 0926-5805, ids: DS2KM, doi: 10.1016/j.autcon.2016.05.016
  • Mendoza, PA, MP Clark, N Mizukami, ED Gutmann, JR Arnold, LD Brekke and B Rajagopalan (2016), How do hydrologic modeling decisions affect the portrayal of climate change impacts?. Hydrol. Processes Version: 1 30 (7) 1071-1095, issn: 0885-6087, ids: DH8CR, doi: 10.1002/hyp.10684
  • Kohler, LE, J Silverstein and B Rajagopalan (2016), Predicting Life Cycle Failures of On-Site Wastewater Treatment Systems Using Generalized Additive Models. Environ. Eng. Sci. Version: 1 33 (2) 112-124, issn: 1092-8758, ids: DD5OX, doi: 10.1089/ees.2015.0275
  • Tixier, AJP, MR Hallowell, B Rajagopalan and D Bowman (2016), Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports. Autom. Constr. Version: 1 62 45-56, issn: 0926-5805, ids: DD7LZ, doi: 10.1016/j.autcon.2015.11.001
  • Kim, Y, B Rajagopalan and G Lee (2016), Temporal statistical downscaling of precipitation and temperature forecasts using a stochastic weather generator. Adv. Atmos. Sci. Version: 1 33 (2) 175-183, issn: 0256-1530, ids: CZ9ZW, doi: 10.1007/s00376-015-5115-6
  • Mendoza, PA, N Mizukami, K Ikeda, MP Clark, ED Gutmann, JR Arnold, LD Brekke and B Rajagopalan (2016), Effects of different regional climate model resolution and forcing scales on projected hydrologic changes. J. Hydrol. Version: 1 541 1003-1019, issn: 0022-1694, ids: EA2GI, doi: 10.1016/j.jhydrol.2016.08.010
  • Verdin, A, C Funk, B Rajagopalan and W Kleiber (2016), Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems. IEEE Trans. Geosci. Remote Sens. Version: 1 54 (5) 2552-2562, issn: 0196-2892, ids: DK5OF, doi: 10.1109/TGRS.2015.2502956
  • Gill, EC, B Rajagopalan, P Molnar and TM Marchitto (2016), Reduced-dimension reconstruction of the equatorial Pacific SST and zonal wind fields over the past 10,000years using Mg/Ca and alkenone records. Paleoceanography Version: 1 31 (7) 928-952, issn: 0883-8305, ids: DW2NR, doi: 10.1002/2016PA002948
  • Yanto, B Rajagopalan and E Zagona (2016), Space-time variability of Indonesian rainfall at inter-annual and multi-decadal time scales. Clim. Dyn. Version: 1 47 (10-Sep) 2975-2989, issn: 0930-7575, ids: DZ7QV, doi: 10.1007/s00382-016-3008-8
  • Samson, CC, B Rajagopalan and RS Summers (2016), Modeling Source Water TOC Using Hydroclimate Variables and Local Polynomial Regression. Environ. Sci. Technol. Version: 1 50 (8) 4413-4421, issn: 0013-936X, ids: DK1WZ, doi: 10.1021/acs.est.6b00639, PubMed ID: 26998784
  • Suchetana, Bihu, Balaji Rajagopalan and JoAnn Silverstein (2016), Hierarchical Modeling Approach to Evaluate Spatial and Temporal Variability of Wastewater Treatment Compliance with Biochemical Oxygen Demand, Total Suspended Solids, and Ammonia Limits in the United States. Version: 1 ENVIRONMENTAL ENGINEERING SCIENCE 33 (7) 514-524, issn: 1092-8758, doi: 10.1089/ees.2016.0116
  • Kohler, LE, J Silverstein and B Rajagopalan (2016), Modeling on-site wastewater treatment system performance fragility to hydroclimate stressors. Water Sci. Technol. Version: 1 74 (12) 2917-2926, issn: 0273-1223, ids: EG7VX, doi: 10.2166/wst.2016.467
  • Bracken, C, B Rajagopalan and C Woodhouse (2016), A Bayesian hierarchical nonhomogeneous hidden Markov model for multisite streamflow reconstructions. Water Resour. Res. Version: 1 52 (10) 7837-7850, issn: 0043-1397, ids: EC9VW, doi: 10.1002/2016WR018887
  • Erkyihun, ST, B Rajagopalan, E Zagona, U Lall and K Nowak (2016), Wavelet-based time series bootstrap model for multidecadal streamflow simulation using climate indicators. Water Resour. Res. Version: 1 52 (5) 4061-4077, issn: 0043-1397, ids: DQ5QL, doi: 10.1002/2016WR018696
  • Glaser, J, J Lemery, B Rajagopalan, HF Diaz, R Garcia-Trabanino, G Taduri, M Madero, M Amarasinghe, G Abraham, S Anutrakulchai, V Jha, P Stenvinkel, C Roncal-Jimenez, MA Lanaspa, R Correa-Rotter, D Sheikh-Hamad, EA Burdmann, A Andres-Hernando, T Milagres, I Weiss, M Kanbay, C Wesseling, LG Sanchez-Lozada and RJ Johnson (2016), Climate Change and the Emergent Epidemic of CKD from Heat Stress in Rural Communities: The Case for Heat Stress Nephropathy. Clin. J. Am. Soc. Nephrol. Version: 1 11 (8) 1472-1483, issn: 1555-9041, ids: DY1BP, doi: 10.2215/CJN.13841215, PubMed ID: 27151892
  • Bracken, C, B Rajagopalan, L Cheng, W Kleiber and S Gangopadhyay (2016), Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain. Water Resour. Res. Version: 1 52 (8) 6643-6655, issn: 0043-1397, ids: DW5KT, doi: 10.1002/2016WR018768
  • Weirich, SR, J Silverstein and B Rajagopalan (2015), Resilience of Secondary Wastewater Treatment Plants: Prior Performance Is Predictive of Future Process Failure and Recovery Time. Environ. Eng. Sci. Version: 1 32 (3) 222-231, issn: 1092-8758, ids: CD1AD, doi: 10.1089/ees.2014.0406
  • Verdin, A, B Rajagopalan, W Kleiber and C Funk (2015), A Bayesian kriging approach for blending satellite and ground precipitation observations. Water Resour. Res. Version: 1 51 (2) 908-921, issn: 0043-1397, ids: CD9ET, doi: 10.1002/2014WR015963
  • Mendoza, PA, MP Clark, N Mizukami, AJ Newman, M Barlage, ED Gutmann, RM Rasmussen, B Rajagopalan, LD Brekke and JR Arnold (2015), Effects of Hydrologic Model Choice and Calibration on the Portrayal of Climate Change Impacts. J. Hydrometeorol. Version: 1 16 (2) 762-780, issn: 1525-755X, ids: CF7KM, doi: 10.1175/JHM-D-14-0104.1
  • Caldwell, J, B Rajagopalan and E Danner (2015), Statistical Modeling of Daily Water Temperature Attributes on the Sacramento River. J. Hydrol. Eng. Version: 1 20 (5) , Art. No. 4014065, issn: 1084-0699, ids: CH4HU, doi: 10.1061/(ASCE)HE.1943-5584.0001023
  • Verdin, A, B Rajagopalan, W Kleiber and RW Katz (2015), Coupled stochastic weather generation using spatial and generalized linear models. Stoch. Env. Res. Risk A Version: 1 29 (2) 347-356, issn: 1436-3240, ids: CA5DL, doi: 10.1007/s00477-014-0911-6
  • Rajagopalan, Balaji, Kleiber, William, Podest, Guillermo, Bert, Federico, Verdin, Andrew (2015), A conditional stochastic weather generator for seasonal to multi-decadal simulations. J. Hydrol. Version: 1, issn: 00221694, doi: 10.1016/J.JHYDROL.2015.12.036
  • Weirich, SR, J Silverstein and B Rajagopalan (2015), Simulation of Effluent Biological Oxygen Demand and Ammonia for Increasingly Decentralized Networks of Wastewater Treatment Facilities. Environ. Eng. Sci. Version: 1 32 (3) 232-239, issn: 1092-8758, ids: CD1AD, doi: 10.1089/ees.2014.0407
  • Nakamura, J, U Lall, Y Kushnir and B Rajagopalan (2015), HITS: Hurricane Intensity and Track Simulator with North Atlantic Ocean Applications for Risk Assessment. J. Appl. Meteor. Clim. Version: 1 54 (7) 1620-1636, issn: 1558-8424, ids: CM9AT, doi: 10.1175/JAMC-D-14-0141.1
  • Mendoza, PA, MP Clark, M Barlage, B Rajagopalan, L Samaniego, G Abramowitz and H Gupta (2015), Are we unnecessarily constraining the agility of complex process-based models?. Water Resour. Res. Version: 1 51 (1) 716-728, issn: 0043-1397, ids: CB8OO, doi: 10.1002/2014WR015820
  • Vogel, RM, U Lall, XM Cai, B Rajagopalan, PK Weiskel, RP Hooper and NC Matalas (2015), Hydrology: The interdisciplinary science of water. Water Resour. Res. Version: 1 51 (6) 4409-4430, issn: 0043-1397, ids: CN3CK, doi: 10.1002/2015WR017049
  • Bracken, C, B Rajagopalan, M Alexander and S Gangopadhyay (2015), Spatial variability of seasonal extreme precipitation in the western United States. J. Geophys. Res.-Atmos. Version: 1 120 (10) 4522-4533, issn: 2169-897X, ids: CL1IT, doi: 10.1002/2015JD023205
  • Esmaeili, B, MR Hallowell and B Rajagopalan (2015), Attribute-Based Safety Risk Assessment. II: Predicting Safety Outcomes Using Generalized Linear Models. J. Constr. Eng. Manage. Version: 1 141 (8) , Art. No. 4015022, issn: 0733-9364, ids: CN1LP, doi: 10.1061/(ASCE)CO.1943-7862.0000981
  • Esmaeili, B, MR Hallowell and B Rajagopalan (2015), Attribute-Based Safety Risk Assessment. I: Analysis at the Fundamental Level. J. Constr. Eng. Manage. Version: 1 141 (8) , Art. No. 4015021, issn: 0733-9364, ids: CN1LP, doi: 10.1061/(ASCE)CO.1943-7862.0000980
  • Yoo, J, HH Kwon, BJ So, B Rajagopalan and TW Kim (2015), Identifying the role of typhoons as drought busters in South Korea based on hidden Markov chain models. Geophys. Res. Lett. Version: 1 42 (8) 2797-2804, issn: 0094-8276, ids: CI2FN, doi: 10.1002/2015GL063753
  • Gill, EC, B Rajagopalan and PH Molnar (2015), An assessment of the mean annual precipitation needed to sustain Lake Sambhar in Rajasthan, India, during mid-Holocene time. Holocene Version: 1 25 (12) 1923-1934, issn: 0959-6836, ids: CW8NI, doi: 10.1177/0959683615596817
  • Gill, EC, B Rajagopalan and P Molnar (2015), Subseasonal variations in spatial signatures of ENSO on the Indian summer monsoon from 1901 to 2009. J. Geophys. Res.-Atmos. Version: 1 120 (16) 8165-8185, issn: 2169-897X, ids: CU3KX, doi: 10.1002/2015JD023184
  • Mendoza, PA, B Rajagopalan, MP Clark, K Ikeda and RM Rasmussen (2015), Statistical Postprocessing of High-Resolution Regional Climate Model Output. Mon. Weather Rev. Version: 1 143 (5) 1533-1553, issn: 0027-0644, ids: CH5RW, doi: 10.1175/MWR-D-14-00159.1
  • Krishnaswamy, J, S Vaidyanathan, B Rajagopalan, M Bonell, M Sankaran, RS Bhalla and S Badiger (2015), Non-stationary and non-linear influence of ENSO and Indian Ocean Dipole on the variability of Indian monsoon rainfall and extreme rain events. Clim. Dyn. Version: 1 45 (2-Jan) 175-184, issn: 0930-7575, ids: CI4IS, doi: 10.1007/s00382-014-2288-0
  • Broman, D, B Rajagopalan and T Hopson (2014), Spatiotemporal Variability and Predictability of Relative Humidity over West African Monsoon Region. J. Clim. Version: 1 27 (14) 5346-5363, issn: 0894-8755, ids: AL4WJ, doi: 10.1175/JCLI-D-13-00414.1
  • Caraway, NM, JL McCreight and B Rajagopalan (2014), Multisite stochastic weather generation using cluster analysis and k-nearest neighbor time series resampling. J. Hydrol. Version: 1 508 197-213, issn: 0022-1694, ids: AB9SI, doi: 10.1016/j.jhydrol.2013.10.054
  • Mendoza, PA, B Rajagopalan, MP Clark, G Cortes and J McPhee (2014), A robust multimodel framework for ensemble seasonal hydroclimatic forecasts. Water Resour. Res. Version: 1 50 (7) 6030-6052, issn: 0043-1397, ids: AQ2QG, doi: 10.1002/2014WR015426
  • Ballard, T, R Seager, JE Smerdon, BI Cook, AJ Ray, B Rajagopalan, Y Kushnir, J Nakamura and N Henderson (2014), Hydroclimate Variability and Change in the Prairie Pothole Region, the "Duck Factory'' of North America. Earth Interact. Version: 1 18 , Art. No. 14, issn: 1087-3562, ids: AP1GI, doi: 10.1175/EI-D-14-0004.1
  • Bracken, C, B Rajagopalan and E Zagona (2014), A hidden Markov model combined with climate indices for multidecadal streamflow simulation. Water Resour. Res. Version: 1 50 (10) 7836-7846, issn: 0043-1397, ids: AT2RX, doi: 10.1002/2014WR015567
  • McCreight, JL, AG Slater, HP Marshall and B Rajagopalan (2014), Inference and uncertainty of snow depth spatial distribution at the kilometre scale in the Colorado Rocky Mountains: the effects of sample size, random sampling, predictor quality, and validation procedures. Hydrol. Processes Version: 1 28 (3) 933-957, issn: 0885-6087, ids: 284WN, doi: 10.1002/hyp.9618
  • Rajagopalan, B and P Molnar (2014), Combining regional moist static energy and ENSO for forecasting of early and late season Indian monsoon rainfall and its extremes. Geophys. Res. Lett. Version: 1 41 (12) 4323-4331, issn: 0094-8276, ids: AN0SM, doi: 10.1002/2014GL060429
  • Towler, E, B Rajagopalan, D Yates, A Rodriguez and RS Summers (2013), Integrated Approach to Simulate Stream Water Quality for Municipal Supply under a Changing Climate. J. Environ. Eng.-ASCE Version: 1 139 (12) 1432-1440, issn: 0733-9372, ids: 292JC, doi: 10.1061/(ASCE)EE.1943-7870.0000766
  • Towler, E, M Roberts, B Rajagopalan and RS Sojda (2013), Incorporating probabilistic seasonal climate forecasts into river management using a risk-based framework. Water Resour. Res. Version: 1 49 (8) 4997-5008, issn: 0043-1397, ids: 223VA, doi: 10.1002/wrcr.20378
  • Pike, A, E Danner, D Boughton, F Melton, R Nemani, B Rajagopalan and S Lindley (2013), Forecasting river temperatures in real time using a stochastic dynamics approach. Water Resour. Res. Version: 1 49 (9) 5168-5182, issn: 0043-1397, ids: 238ZO, doi: 10.1002/wrcr.20389
  • May-Ostendorp, PT, GP Henze, B Rajagopalan and D Kalz (2013), Experimental investigation of model predictive control-based rules for a radiantly cooled office. HVAC&R Res. Version: 1 19 (5) 602-615, issn: 1078-9669, ids: 187GH, doi: 10.1080/10789669.2013.801303
  • Rajagopalan, B and P Molnar (2013), Signatures of Tibetan Plateau heating on Indian summer monsoon rainfall variability. J. Geophys. Res.-Atmos. Version: 1 118 (3) 1170-1178, issn: 2169-897X, ids: 129LC, doi: 10.1002/jgrd.50124
  • May-Ostendorp, PT, GP Henze, B Rajagopalan and CD Corbin (2013), Extraction of supervisory building control rules from model predictive control of windows in a mixed mode building. J. Build. Perf. Simul. Version: 1 6 (3) 199-219, issn: 1940-1493, ids: 122IV, doi: 10.1080/19401493.2012.665481
  • Gershunov, A, B Rajagopalan, J Overpeck, K Guirguis, D Cayan, M Hughes, M Dettinger, C Castro, RE Schwartz, M Anderson, AJ Ray, J Barsugli, T Cavazos and M Alexander (2013), Future Climate: Projected Extremes. Version: 1 ASSESSMENT OF CLIMATE CHANGE IN THE SOUTHWEST UNITED STATES: A REPORT PREPARED FOR THE NATIONAL CLIMATE ASSESSMENT 126-147, Ed. Garfin, G; Jardine, A; Merideth, R; Black, M; LeRoy, S, ids: BA8DA, isbn: 978-1-61091-484-0; 978-1-59726-420-4, doi: 10.5822/978-1-61091-484-0_7
  • Cayan, DR, M Tyree, KE Kunkel, C Castro, A Gershunov, J Barsugli, AJ Ray, J Overpeck, M Anderson, J Russell, B Rajagopalan, I Rangwala and P Duffy (2013), Future Climate: Projected Average. Version: 1 ASSESSMENT OF CLIMATE CHANGE IN THE SOUTHWEST UNITED STATES: A REPORT PREPARED FOR THE NATIONAL CLIMATE ASSESSMENT 101-125, Ed. Garfin, G; Jardine, A; Merideth, R; Black, M; LeRoy, S, ids: BA8DA, isbn: 978-1-61091-484-0; 978-1-59726-420-4, doi: 10.5822/978-1-61091-484-0_6
  • Stevenson, S, B Rajagopalan and B Fox-Kemper (2013), Generalized linear modeling of the El Nino/Southern Oscillation with application to seasonal forecasting and climate change projections. J. Geophys. Res.-Oceans Version: 1 118 (8) 3764-3781, issn: 2169-9275, ids: 224XX, doi: 10.1002/jgrc.20260
  • Kishtawal, CM, D Niyogi, B Rajagopalan, M Rajeevan, N Jaiswal and UC Mohanty (2013), Enhancement of inland penetration of monsoon depressions in the Bay of Bengal due to prestorm ground wetness. Water Resour. Res. Version: 1 49 (6) 3589-3600, issn: 0043-1397, ids: 189BF, doi: 10.1002/wrcr.20301
  • Hwang, Y, M Clark, B Rajagopalan and G Leavesley (2012), Spatial interpolation schemes of daily precipitation for hydrologic modeling. Stoch. Environ. Res. Risk Assess. Version: 1 26 (2) 295-320, issn: 1436-3240, ids: 876PQ, doi: 10.1007/s00477-011-0509-1
  • Rajagopalan, B and P Molnar (2012), Pacific Ocean sea-surface temperature variability and predictability of rainfall in the early and late parts of the Indian summer monsoon season. Clim. Dyn. Version: 1 39 (6) 1543-1557, issn: 0930-7575, ids: 005AO, doi: 10.1007/s00382-011-1194-y
  • Towler, E, B Raucher, B Rajagopalan, A Rodriguez, D Yates and RS Summers (2012), Incorporating Climate Uncertainty in a Cost Assessment for New Municipal Source Water. J. Water Resour. Plan. Manage.-ASCE Version: 1 138 (5) 396-402, issn: 0733-9496, ids: 068IF, doi: 10.1061/(ASCE)WR.1943-5452.0000150
  • Nowak, K, M Hoerling, B Rajagopalan and E Zagona (2012), Colorado River Basin Hydroclimatic Variability. J. Clim. Version: 1 25 (12) 4389-4403, issn: 0894-8755, ids: 969GL, doi: 10.1175/JCLI-D-11-00406.1
  • Kleiber, W, RW Katz and B Rajagopalan (2012), Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes. Water Resour. Res. Version: 1 48 , Art. No. W01523, issn: 0043-1397, ids: 880DS, doi: 10.1029/2011WR011105
  • Danner, EM, FS Melton, A Pike, H Hashimoto, A Michaelis, B Rajagopalan, J Caldwell, L DeWitt, S Lindley and RR Nemani (2012), River Temperature Forecasting: A Coupled-Modeling Framework for Management of River Habitat. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. Version: 1 5 SI (6) 1752-1760, issn: 1939-1404, ids: 063OL, doi: 10.1109/JSTARS.2012.2229968
  • Molnar, P and B Rajagopalan (2012), Late Miocene upward and outward growth of eastern Tibet and decreasing monsoon rainfall over the northwestern Indian subcontinent since similar to 10 Ma. Geophys. Res. Lett. Version: 1 39 , Art. No. L09702, issn: 0094-8276, ids: 937RE, doi: 10.1029/2012GL051305
  • Kim, Y, RW Katz, B Rajagopalan, GP Podesta and EM Furrer (2012), Reducing overdispersion in stochastic weather generators using a generalized linear modeling approach. Clim. Res. Version: 1 53 (1) 13-24, issn: 0936-577X, ids: 947KL, doi: 10.3354/cr01071
  • Phillips, T, RS Nerem, B Fox-Kemper, JS Famiglietti and B Rajagopalan (2012), The influence of ENSO on global terrestrial water storage using GRACE. Geophys. Res. Lett. Version: 1 39 , Art. No. L16705, issn: 0094-8276, ids: 995JM, doi: 10.1029/2012GL052495
  • Nowak, KC, B Rajagopalan and E Zagona (2011), Wavelet Auto-Regressive Method (WARM) for multi-site streamflow simulation of data with non-stationary spectra. J. Hydrol. Version: 1 410 (2-Jan) 1-12, issn: 0022-1694, ids: 860SM, doi: 10.1016/j.jhydrol.2011.08.051
  • Regonda, S, E Zagona and B Rajagopalan (2011), Prototype Decision Support System for Operations on the Gunnison Basin with Improved Forecasts. J. Water Resour. Plan. Manage.-ASCE Version: 1 137 (5) 428-438, issn: 0733-9496, ids: 818WR, doi: 10.1061/(ASCE)WR.1943-5452.0000133
  • Weirich, SR, J Silverstein and B Rajagopalan (2011), Effect of average flow and capacity utilization on effluent water quality from US municipal wastewater treatment facilities. Water Res. Version: 1 45 (14) 4279-4286, issn: 0043-1354, ids: 797HZ, doi: 10.1016/j.watres.2011.06.002, PubMed ID: 21704355
  • Kumar, KK, K Kamala, B Rajagopalan, MP Hoerling, JK Eischeid, SK Patwardhan, G Srinivasan, BN Goswami and R Nemani (2011), The once and future pulse of Indian monsoonal climate. Clim. Dyn. Version: 1 36 (12-Nov) 2159-2170, issn: 0930-7575, ids: 771NK, doi: 10.1007/s00382-010-0974-0
  • May-Ostendorp, P, GP Henze, CD Corbin, B Rajagopalan and C Felsmann (2011), Model-predictive control of mixed-mode buildings with rule extraction. Build. Environ. Version: 1 46 (2) 428-437, issn: 0360-1323, ids: 681VH, doi: 10.1016/j.buildenv.2010.08.004
  • Salas, JD, CJ Fu and B Rajagopalan (2011), Long-Range Forecasting of Colorado Streamflows Based on Hydrologic, Atmospheric, and Oceanic Data. J. Hydrol. Eng. Version: 1 16 (6) 508-520, issn: 1084-0699, ids: 777SW, doi: 10.1061/(ASCE)HE.1943-5584.0000343
  • Hwang, Y, MP Clark and B Rajagopalan (2011), Use of daily precipitation uncertainties in streamflow simulation and forecast. Stoch. Environ. Res. Risk Assess. Version: 1 25 (7) 957-972, issn: 1436-3240, ids: 808FQ, doi: 10.1007/s00477-011-0460-1
  • Apipattanavis, S, K Sabol, KR Molenaar, B Rajagopalan, YP Xi, B Blackard and S Patil (2010), Integrated Framework for Quantifying and Predicting Weather-Related Highway Construction Delays. J. Constr. Eng. Manage.-ASCE Version: 1 136 (11) 1160-1168, issn: 0733-9364, ids: 667JJ, doi: 10.1061/(ASCE)CO.1943-7862.0000199
  • Apipattanavis, S, F Bert, G Podesta and B Rajagopalan (2010), Linking weather generators and crop models for assessment of climate forecast outcomes. Agric. For. Meteorol. Version: 1 150 (2) 166-174, issn: 0168-1923, ids: 559ZQ, doi: 10.1016/j.agrformet.2009.09.012
  • Towler, E, B Rajagopalan, E Gilleland, RS Summers, D Yates and RW Katz (2010), Modeling hydrologic and water quality extremes in a changing climate: A statistical approach based on extreme value theory. Water Resour. Res. Version: 1 46 , Art. No. W11504, issn: 0043-1397, ids: 676XH, doi: 10.1029/2009WR008876
  • Apipattanavis, S, B Rajagopalan and U Lall (2010), Local Polynomial-Based Flood Frequency Estimator for Mixed Population. J. Hydrol. Eng. Version: 1 15 (9) 680-691, issn: 1084-0699, ids: 639DN, doi: 10.1061/(ASCE)HE.1943-5584.0000242
  • Towler, E, B Rajagopalan, RS Summers and D Yates (2010), An approach for probabilistic forecasting of seasonal turbidity threshold exceedance. Water Resour. Res. Version: 1 46 , Art. No. W06511, issn: 0043-1397, ids: 613QF, doi: 10.1029/2009WR007834
  • Dutton, SJ, B Rajagopalan, S Vedal and MP Hannigan (2010), Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver. Atmos. Environ. Version: 1 44 (7) 987-998, issn: 1352-2310, ids: 578SW, doi: 10.1016/j.atmosenv.2009.06.006
  • Bracken, C, B Rajagopalan and J Prairie (2010), A multisite seasonal ensemble streamflow forecasting technique. Water Resour. Res. Version: 1 46 , Art. No. W03532, issn: 0043-1397, ids: 578UP, doi: 10.1029/2009WR007965
  • Nowak, K, J Prairie, B Rajagopalan and U Lall (2010), A nonparametric stochastic approach for multisite disaggregation of annual to daily streamflow. Water Resour. Res. Version: 1 46 , Art. No. W08529, issn: 0043-1397, ids: 639GK, doi: 10.1029/2009WR008530
  • Han, WQ, GA Meehl, B Rajagopalan, JT Fasullo, AX Hu, JL Lin, WG Large, JW Wang, XW Quan, LL Trenary, A Wallcraft, T Shinoda and S Yeager (2010), Patterns of Indian Ocean sea-level change in a warming climate. Nature Geosci. Version: 1 3 (8) 546-550, issn: 1752-0894, ids: 645NK, doi: 10.1038/ngeo901
  • Stevenson, S, B Fox-Kemper, M Jochum, B Rajagopalan and SG Yeager (2010), ENSO Model Validation Using Wavelet Probability Analysis. J. Clim. Version: 1 23 (20) 5540-5547, issn: 0894-8755, ids: 681IW, doi: 10.1175/2010JCLI3609.1
  • Apipattanavis, S, GJ McCabe, B Rajagopalan and S Gangopadhyay (2009), Joint Spatiotemporal Variability of Global Sea Surface Temperatures and Global Palmer Drought Severity Index Values. J. Clim. Version: 1 22 (23) 6251-6267, issn: 0894-8755, ids: 526GC, doi: 10.1175/2009JCLI2791.1
  • Podesta, G, F Bert, B Rajagopalan, S Apipattanavis, C Laciana, E Weber, W Easterling, R Katz, D Letson and A Menendez (2009), Decadal climate variability in the Argentine Pampas: regional impacts of plausible climate scenarios on agricultural systems. Clim. Res. Version: 1 40 (3-Feb) 199-210, issn: 0936-577X, ids: 543MM, doi: 10.3354/cr00807
  • Rajagopalan, B, K Nowak, J Prairie, M Hoerling, B Harding, J Barsugli, A Ray and B Udall (2009), Water supply risk on the Colorado River: Can management mitigate?. Water Resour. Res. Version: 1 45 , Art. No. W08201, issn: 0043-1397, ids: 487CO, doi: 10.1029/2008WR007652
  • Lee, E, TN Chase, B Rajagopalan, RG Barry, TW Biggs and PJ Lawrence (2009), Effects of irrigation and vegetation activity on early Indian summer monsoon variability. Int. J. Climatol. Version: 1 29 (4) 573-581, issn: 0899-8418, ids: 419LL, doi: 10.1002/joc.1721
  • Towler, E, B Rajagopalan, C Seidel and RS Summers (2009), Simulating Ensembles of Source Water Quality Using a K-Nearest Neighbor Resampling Approach. Environ. Sci. Technol. Version: 1 43 (5) 1407-1411, issn: 0013-936X, ids: 412XX, doi: 10.1021/es8021182, PubMed ID: 19350911
  • Block, P and B Rajagopalan (2009), Statistical-Dynamical Approach for Streamflow Modeling at Malakal, Sudan, on the White Nile River. J. Hydrol. Eng. Version: 1 14 (2) 185-196, issn: 1084-0699, ids: 395MW, doi: 10.1061/(ASCE)1084-0699(2009)14:2(185)
  • Barsugli, JJ, K Nowak, B Rajagopalan, JR Prairie and B Harding (2009), Comment on "When will Lake Mead go dry?" by T. P. Barnett and D. W. Pierce. Water Resour. Res. Version: 1 45 , Art. No. W09601, issn: 0043-1397, ids: 497LH, doi: 10.1029/2008WR007627
  • Gangopadhyay, S, BL Harding, B Rajagopalan, JJ Lukas and TJ Fulp (2009), A nonparametric approach for paleohydrologic reconstruction of annual streamflow ensembles. Water Resour. Res. Version: 1 45 , Art. No. W06417, issn: 0043-1397, ids: 458HD, doi: 10.1029/2008WR007201
  • Towler, E, B Rajagopalan and RS Summers (2009), Using Parametric and Nonparametric Methods to Model Total Organic Carbon, Alkalinity, and pH after Conventional Surface Water Treatment. Environ. Eng. Sci. Version: 1 26 (8) 1299-1308, issn: 1092-8758, ids: 474BN, doi: 10.1089/ees.2008.0341
  • Lee, E, TN Chase and B Rajagopalan (2008), Seasonal forecasting of East Asian summer monsoon based on oceanic heat sources. Int. J. Climatol. Version: 1 28 (5) 667-678, issn: 0899-8418, ids: 294UG, doi: 10.1002/joc.1551
  • Prairie, J, K Nowak, B Rajagopalan, U Lall and T Fulp (2008), A stochastic nonparametric approach for streamflow generation combining observational and paleoreconstructed data. Water Resour. Res. Version: 1 44 (6) , Art. No. W06423, issn: 0043-1397, ids: 321OU, doi: 10.1029/2007WR006684
  • Morin, J, P Block, B Rajagopalan and M Clark (2008), Identification of large scale climate patterns affecting snow variability in the eastern United States. Int. J. Climatol. Version: 1 28 (3) 315-328, issn: 0899-8418, ids: 286NJ, doi: 10.1002/joc.1534
  • Leavitt, SW, TN Chase, B Rajagopalan, E Lee and PJ Lawrence (2008), Southwestern US tree-ring carbon isotope indices as a possible proxy for reconstruction of greenness of vegetation. Geophys. Res. Lett. Version: 1 35 (12) , Art. No. L12704, issn: 0094-8276, ids: 317XC, doi: 10.1029/2008GL033894
  • Lee, E, TN Chase, PJ Lawrence and B Rajagopalan (2008), Model assessment of the observed relationship between El Nino and the northern East Asian summer monsoon using the Community Climate System Model Community Atmosphere Model-Community Land Model version 3 (CAM-CLM3). J. Geophys. Res.-Atmos. Version: 1 113 (D20) , Art. No. D20118, issn: 2169-897X, ids: 368CD, doi: 10.1029/2008JD009926
  • Lee, E, TN Chase and B Rajagopalan (2008), Highly improved predictive skill in the forecasting of the East Asian summer monsoon. Water Resour. Res. Version: 1 44 (10) , Art. No. W10422, issn: 0043-1397, ids: 368ET, doi: 10.1029/2007WR006514
  • Grantz, K, B Rajagopalan, M Clark and E Zagona (2007), Seasonal shifts in the North American monsoon. J. Clim. Version: 1 20 (9) 1923-1935, issn: 0894-8755, ids: 167TE, doi: 10.1175/JCL14091.1
  • Prairie, J, B Rajagopalan, U Lall and T Fulp (2007), A stochastic nonparametric technique for space-time disaggregation of streamflows. Water Resour. Res. Version: 1 43 (3) , Art. No. W03432, issn: 0043-1397, ids: 150GP, doi: 10.1029/2005WR004721
  • Prairie, JR and B Rajagopalan (2007), A basin wide stochastic salinity model. J. Hydrol. Version: 1 344 (2-Jan) 43-54, issn: 0022-1694, ids: 218PE, doi: 10.1016/j.jhydrol.2007.06.029
  • Block, P and B Rajagopalan (2007), Interannual variability and ensemble forecast of upper Blue Nile basin Kiremt season precipitation. J. Hydrometeorol. Version: 1 8 (3) 327-343, issn: 1525-755X, ids: 184CU, doi: 10.1175/JHM580.1
  • Opitz-Stapleton, S, S Gangopadhyay and B Rajagopalan (2007), Generating streamflow forecasts for the Yakima River Basin using large-scale climate predictors. J. Hydrol. Version: 1 341 (4-Mar) 131-143, issn: 0022-1694, ids: 198RO, doi: 10.1016/j.jhydrol.2007.03.024
  • Biggs, TW, CA Scott, B Rajagopalan and HN Turral (2007), Trends in solar radiation due to clouds and aerosols, southern India, 1952-1997. Int. J. Clim. Version: 1 27 (11) 1505-1518, issn: 0899-8418, ids: 214HT, doi: 10.1002/joc.1487
  • Zachman, BA, B Rajagopalan and RS Summers (2007), Modeling NOM breakthrough in GAC adsorbers using nonparametric regression techniques. Environ. Eng. Sci. Version: 1 24 (9) 1280-1296, issn: 1092-8758, ids: 231GS, doi: 10.1089/ees.2006.0223
  • Apipattanavis, S, G Podesta, B Rajagopalan and RW Katz (2007), A semiparametric multivariate and multisite weather generator. Water Resour. Res. Version: 1 43 (11) , Art. No. W11401, issn: 0043-1397, ids: 228FF, doi: 10.1029/2006WR005714
  • Grantz, K, B Rajagopalan, E Zagona and M Clark (2007), Water management applications of climate-based hydrologic forecasts: Case study of the Truckee-Carson River Basin. J. Water Resour. Plan. Manage.-ASCE Version: 1 133 (4) 339-350, issn: 0733-9496, ids: 180IZ, doi: 10.1061/(ASCE)0733-9496(2007)133:4(339)
  • Regonda, SK, B Rajagopalan and M Clark (2006), A new method to produce categorical streamflow forecasts. Water Resour. Res. Version: 1 42 (9) , Art. No. W09501, issn: 0043-1397, ids: 086BW, doi: 10.1029/2006WR004984
  • Regonda, SK, B Rajagopalan, M Clark and E Zagona (2006), A multimodel ensemble forecast framework: Application to spring seasonal flows in the Gunnison River Basin. Water Resour. Res. Version: 1 42 (9) , Art. No. W09404, issn: 0043-1397, ids: 086BW, doi: 10.1029/2005WR004653
  • Neumann, D., B. Rajagopalan and E. Zagona (2006), A decision support system to manage summer stream temperatures for water quality improvement in the Truckee river near Reno, NV. Journal of American Water Resources Association Version: 1 42 (5) 1275-1284
  • Kumar, KK, B Rajagopalan, M Hoerling, G Bates and M Cane (2006), Unraveling the mystery of Indian monsoon failure during El Nino. Science Version: 1 314 (5796) 115-119, issn: 0036-8075, ids: 091LU, doi: 10.1126/science.1131152, PubMed ID: 16959975
  • Prairie, JR, B Rajagopalan, TJ Fulp and EA Zagona (2006), Modified K-NN model for stochastic streamflow simulation. J. Hydrol. Eng. Version: 1 11 (4) 371-378, issn: 1084-0699, ids: 054RQ, doi: 10.1061/(ASCE)1084-0699(2006)11:4(371)
  • Clark, MP, AG Slater, AP Barrett, LE Hay, GJ McCabe, B Rajagopalan and GH Leavesley (2006), Assimilation of snow covered area information into hydrologic and land-surface models. Adv. Water Resour. Version: 1 29 (8) 1209-1221, issn: 0309-1708, ids: 081LU, doi: 10.1016/j.advwatres.2005.10.001
  • Neumann, DW, EA Zagona and B Rajagopalan (2006), A decision support system to manage summer stream temperatures. J. Am. Water Resour. Assoc. Version: 1 42 (5) 1275-1284, issn: 1093-474X, ids: 103TJ, doi: 10.1111/j.1752-1688.2006.tb05300.x
  • Prairie, JR, B Rajagopalan, TJ Fulp and EA Zagona (2005), Statistical nonparametric model for natural salt estimation. J. Environ. Eng.-ASCE Version: 1 131 (1) 130-138, issn: 0733-9372, ids: 880VV, doi: 10.1061/(ASCE)0733-9372(2005)131:1(130)
  • Grantz, K, B Rajagopalan, M Clark and E Zagona (2005), A technique for incorporating large-scale climate information in basin-scale ensemble streamflow forecasts. Water Resour. Res. Version: 1 41 (10) , Art. No. W10410, issn: 0043-1397, ids: 978DK, doi: 10.1029/2004WR003467
  • Regonda, SK, B Rajagopalan, M Clark and J Pitlick (2005), Seasonal cycle shifts in hydroclimatology over the western United States. J. Clim. Version: 1 18 (2) 372-384, issn: 0894-8755, ids: 899JY, doi: 10.1175/JCLI-3272.1
  • Gangopadhyay, S, M Clark and B Rajagopalan (2005), Statistical downscaling using K-nearest neighbors. Water Resour. Res. Version: 1 41 (2) , Art. No. W02024, issn: 0043-1397, ids: 900LK, doi: 10.1029/2004WR003444
  • Singhrattna, N, B Rajagopalan, KK Kumar and M Clark (2005), Interannual and interdecadal variability of Thailand summer monsoon season. J. Clim. Version: 1 18 (11) 1697-1708, issn: 0894-8755, ids: 937ZU, doi: 10.1175/JCLI3364.1
  • Singhrattna, N, B Rajagopalan, M Clark and KK Kumar (2005), Seasonal forecasting of thailand summer monsoon rainfall. Int. J. Climatol. Version: 1 25 (5) 649-664, issn: 0899-8418, ids: 920ZM, doi: 10.1002/joc.1144
  • Regonda, SK, B Rajagopalan, U Lall, M Clark and YI Moon (2005), Local polynomial method for ensemble forecast of time series. Nonlinear Process Geophys. Version: 1 12 (3) 397-406, issn: 1023-5809, ids: 915DK
  • Kumar, KK, M Hoerling and B Rajagopalan (2005), Advancing dynamical prediction of Indian monsoon rainfall. Geophys. Res. Lett. Version: 1 32 (8) , Art. No. L08704, issn: 0094-8276, ids: 922PX, doi: 10.1029/2004GL021979
  • Clark, MP, S Gangopadhyay, D Brandon, K Werner, L Hay, B Rajagopalan and D Yates (2004), A resampling procedure for generating conditioned daily weather sequences. Water Resour. Res. Version: 1 40 (4) , Art. No. W04304, issn: 0043-1397, ids: 819PN, doi: 10.1029/2003WR002747
  • Gangopadhyay, S, M Clark, K Werner, D Brandon and B Rajagopalan (2004), Effects of spatial and temporal aggregation on the accuracy of statistically downscaled precipitation estimates in the upper Colorado River basin. J. Hydrometeorol. Version: 1 5 (6) 1192-1206, issn: 1525-755X, ids: 885VA, doi: 10.1175/JHM-391.1
  • Clark, M, S Gangopadhyay, L Hay, B Rajagopalan and R Wilby (2004), The Schaake shuffle: A method for reconstructing space-time variability in forecasted precipitation and temperature fields. J. Hydrometeorol. Version: 1 5 (1) 243-262, issn: 1525-755X, ids: 775TL, doi: 10.1175/1525-7541(2004)005<0243:TSSAMF>2.0.CO;2
  • Neumann, DW, B Rajagopalan and EA Zagona (2003), Regression model for daily maximum stream temperature. J. Environ. Eng.-ASCE Version: 1 129 (7) 667-674, issn: 0733-9372, ids: 692GG, doi: 10.1061/(ASCE)0733-9372(2003)129:7(667)
  • Yates, D, S Gangopadhyay, B Rajagopalan and K Strzepek (2003), A technique for generating regional climate scenarios using a nearest-neighbor algorithm. Water Resour. Res. Version: 1 39 (7) , Art. No. 1199, issn: 0043-1397, ids: 710ZG, doi: 10.1029/2002WR001769
  • Rajagopalan, B, U Lall and SE Zebiak (2002), Categorical climate forecasts through regularization and optimal combination of multiple GCM ensembles. Mon. Weather Rev. Version: 1 130 (7) 1792-1811, issn: 0027-0644, ids: 556NL, doi: 10.1175/1520-0493(2002)130<1792%3ACCFTRA>2.0.CO%3B2
  • Tourre, YM, B Rajagopalan, Y Kushnir, M Barlow and WB White (2001), Patterns of coherent decadal and interdecadal climate signals in the Pacific Basin during the 20th century. Geophys. Res. Lett. Version: 1 28 (10) 2069-2072, issn: 0094-8276, ids: 431EB
  • Rajagopalan, B, E Cook, U Lall and BK Ray (2000), Spatiotemporal variability of ENSO and SST teleconnections to summer drought over the United States during the twentieth century. J. Clim. Version: 1 13 (24) 4244-4255, issn: 0894-8755, ids: 385EF, doi: 10.1175/1520-0442(2000)013<4244:SVOEAS>2.0.CO;2
  • Kumar, KK, R Kleeman, MA Cane and B Rajagopalan (1999), Epochal changes in Indian monsoon-ENSO precursors. Geophys. Res. Lett. Version: 1 26 (1) 75-78, issn: 0094-8276, ids: 158MF
  • Kumar, KK, B Rajagopalan and MA Cane (1999), On the weakening relationship between the Indian monsoon and ENSO. Science Version: 1 284 (5423) 2156-2159, issn: 0036-8075, ids: 210HP
  • Phillips, J, B Rajagopalan, M Cane and C Rosenzweig (1999), The role of ENSO in determining climate and maize yield variability in the US cornbelt. Int. J. Clim. Version: 1 19 (8) 877-888, issn: 0899-8418, ids: 215FY
  • Rajagopalan, B and U Lall (1999), A k-nearest-neighhor simulator for daily precipitation and other weather variables. Water Resour. Res. Version: 1 35 (10) 3089-3101, issn: 0043-1397, ids: 240NQ
  • Rajagopalan, B and U Lall (1998), Interannual variability in western US precipitation. J. Hydrol. Version: 1 210 (4-Jan) 51-67, issn: 0022-1694, ids: 136LU
  • Rajagopalan, B, Y Kushnir and YM Tourre (1998), Observed decadal midlatitude and tropical Atlantic climate variability. Geophys. Res. Lett. Version: 1 25 (21) 3967-3970, issn: 0094-8276, ids: 136CE
  • Price, C, L Stone, A Huppert, B Rajagopalan and P Alpert (1998), A possible link between El Nino and precipitation in Israel. Geophys. Res. Lett. Version: 1 25 (21) 3963-3966, issn: 0094-8276, ids: 136CE
  • Rajagopalan, B, ME Mann and U Lall (1998), A multivariate frequency-domain approach to long-lead climatic forecasting. Weather and Forecasting Version: 1 13 (1) 58-74, issn: 0882-8156, ids: ZF645
  • Kaplan, A, MA Cane, Y Kushnir, AC Clement, MB Blumenthal and B Rajagopalan (1998), Analyses of global sea surface temperature 1856-1991. J. Geophys. Res. Oceans Version: 1 103 (C9) 18567-18589, ids: 110CZ
  • Rajagopalan, B, U Lall and MA Cane (1997), Anomalous ENSO occurrences: An alternate view. J. Clim. Version: 1 10 (9) 2351-2357, issn: 0894-8755, ids: XX482
  • Lall, U, B Rajagopalan and DG Tarboton (1996), A nonparametric wet/dry spell model for resampling daily precipitation. Water Resour. Res. Version: 1 32 (9) 2803-2823, issn: 0043-1397, ids: VE901
  • KSHIRSAGAR, MM, B RAJAGOPALAN and U LALL (1995), OPTIMAL PARAMETER-ESTIMATION FOR MUSKINGUM ROUTING WITH UNGAUGED LATERAL INFLOW. J. Hydrol. Version: 1 169 (4-Jan) 25-35, issn: 0022-1694, ids: RD352
  • RAJAGOPALAN, B and U LALL (1995), SEASONALITY OF PRECIPITATION ALONG A MERIDIAN IN THE WESTERN UNITED-STATES. Geophys. Res. Lett. Version: 1 22 (9) 1081-1084, issn: 0094-8276, ids: QW543