| Year |
Citation |
Score |
| 2020 |
Stadler M, Pecenak Z, Mathiesen P, Fahy K, Kleissl J. Performance Comparison between Two Established Microgrid Planning MILP Methodologies Tested On 13 Microgrid Projects Energies. 13: 4460. DOI: 10.3390/En13174460 |
0.3 |
|
| 2020 |
Wu E, Yang H, Kleissl J, Suselj K, Kurowski MJ, Teixeira J. On the Parameterization of Convective Downdrafts for Marine Stratocumulus Clouds Monthly Weather Review. 148: 1931-1950. DOI: 10.1175/Mwr-D-19-0292.1 |
0.322 |
|
| 2020 |
Zapata MZ, Norris JR, Kleissl J. Coastal Stratocumulus Dissipation Dependence on Initial Conditions and Boundary Forcings in a Mixed-Layer Model Journal of the Atmospheric Sciences. 77: 2717-2741. DOI: 10.1175/Jas-D-19-0254.1 |
0.315 |
|
| 2020 |
Lappalainen K, Kleissl J. Analysis of the cloud enhancement phenomenon and its effects on photovoltaic generators based on cloud speed sensor measurements Journal of Renewable and Sustainable Energy. 12: 43502. DOI: 10.1063/5.0007550 |
0.348 |
|
| 2020 |
Yang D, Alessandrini S, Antonanzas J, Antonanzas-Torres F, Badescu V, Beyer HG, Blaga R, Boland J, Bright JM, Coimbra CFM, David M, Frimane Â, Gueymard CA, Hong T, Kay MJ, ... ... Kleissl J, et al. Verification of deterministic solar forecasts Solar Energy. DOI: 10.1016/J.Solener.2020.04.019 |
0.374 |
|
| 2020 |
Lappalainen K, Wang GC, Kleissl J. Estimation of the largest expected photovoltaic power ramp rates Applied Energy. 278: 115636. DOI: 10.1016/J.Apenergy.2020.115636 |
0.317 |
|
| 2019 |
Pecenak ZK, Disfani VR, Reno MJ, Kleissl J. Inversion Reduction Method for Real and Complex Distribution Feeder Models Ieee Transactions On Power Systems. 34: 1161-1170. DOI: 10.1109/Tpwrs.2018.2872747 |
0.308 |
|
| 2019 |
Fahy K, Stadler M, Pecenak ZK, Kleissl J. Input data reduction for microgrid sizing and energy cost modeling: Representative days and demand charges Journal of Renewable and Sustainable Energy. 11: 65301-65301. DOI: 10.1063/1.5121319 |
0.339 |
|
| 2019 |
Wang GC, Urquhart B, Kleissl J. Cloud base height estimates from sky imagery and a network of pyranometers Solar Energy. 184: 594-609. DOI: 10.1016/J.Solener.2019.03.101 |
0.396 |
|
| 2019 |
Pawar P, Cortés C, Murray K, Kleissl J. Detecting clear sky images Solar Energy. 183: 50-56. DOI: 10.1016/J.Solener.2019.02.069 |
0.304 |
|
| 2019 |
Kuhn P, Nouri B, Wilbert S, Hanrieder N, Prahl C, Ramirez L, Zarzalejo L, Schmidt T, Yasser Z, Heinemann D, Tzoumanikas P, Kazantzidis A, Kleissl J, Blanc P, Pitz-Paal R. Determination of the optimal camera distance for cloud height measurements with two all-sky imagers Solar Energy. 179: 74-88. DOI: 10.1016/J.Solener.2018.12.038 |
0.341 |
|
| 2019 |
Wang GC, Ratnam E, Haghi HV, Kleissl J. Corrective receding horizon EV charge scheduling using short-term solar forecasting Renewable Energy. 130: 1146-1158. DOI: 10.1016/J.Renene.2018.08.056 |
0.335 |
|
| 2019 |
Yang D, Wu E, Kleissl J. Operational solar forecasting for the real-time market International Journal of Forecasting. 35: 1499-1519. DOI: 10.1016/J.Ijforecast.2019.03.009 |
0.31 |
|
| 2019 |
Nazarian N, Dumas N, Kleissl J, Norford L. Effectiveness of cool walls on cooling load and urban temperature in a tropical climate Energy and Buildings. 187: 144-162. DOI: 10.1016/J.Enbuild.2019.01.022 |
0.33 |
|
| 2018 |
Pecenak ZK, Disfani VR, Reno MJ, Kleissl J. Multiphase Distribution Feeder Reduction Ieee Transactions On Power Systems. 33: 1320-1328. DOI: 10.1109/Tpwrs.2017.2726502 |
0.336 |
|
| 2018 |
Mejia FA, Kurtz B, Levis A, Parra Ídl, Kleissl J. Cloud tomography applied to sky images: A virtual testbed Solar Energy. 176: 287-300. DOI: 10.1016/J.Solener.2018.10.023 |
0.309 |
|
| 2018 |
Wu E, Clemesha RES, Kleissl J. Coastal Stratocumulus cloud edge forecasts Solar Energy. 164: 355-369. DOI: 10.1016/J.Solener.2018.02.072 |
0.408 |
|
| 2018 |
Kuhn P, Wirtz M, Killius N, Wilbert S, Bosch JL, Hanrieder N, Nouri B, Kleissl J, Ramirez L, Schroedter-Homscheidt M, Heinemann D, Kazantzidis A, Blanc P, Pitz-Paal R. Benchmarking three low-cost, low-maintenance cloud height measurement systems and ECMWF cloud heights against a ceilometer Solar Energy. 168: 140-152. DOI: 10.1016/J.Solener.2018.02.050 |
0.34 |
|
| 2018 |
Sahu DK, Yang H, Kleissl J. Assimilating observations to simulate marine layer stratocumulus for solar forecasting Solar Energy. 162: 454-471. DOI: 10.1016/J.Solener.2018.01.006 |
0.435 |
|
| 2018 |
Yang D, Kleissl J, Gueymard CA, Pedro HTC, Coimbra CFM. History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining Solar Energy. 168: 60-101. DOI: 10.1016/J.Solener.2017.11.023 |
0.301 |
|
| 2018 |
Jamaly M, Kleissl J. Robust cloud motion estimation by spatio-temporal correlation analysis of irradiance data Solar Energy. 159: 306-317. DOI: 10.1016/J.Solener.2017.10.075 |
0.357 |
|
| 2018 |
Nazarian N, Martilli A, Norford L, Kleissl J. Impacts of Realistic Urban Heating. Part II: Air Quality and City Breathability Boundary-Layer Meteorology. 168: 321-341. DOI: 10.1007/S10546-018-0346-6 |
0.364 |
|
| 2018 |
Nazarian N, Martilli A, Kleissl J. Impacts of Realistic Urban Heating, Part I: Spatial Variability of Mean Flow, Turbulent Exchange and Pollutant Dispersion Boundary-Layer Meteorology. 166: 367-393. DOI: 10.1007/S10546-017-0311-9 |
0.35 |
|
| 2017 |
Akyurek BO, Kleissl J. Closed-Form Analytic Solution of Cloud Dissipation for a Mixed-Layer Model Journal of the Atmospheric Sciences. 74: 2525-2556. DOI: 10.1175/Jas-D-16-0303.1 |
0.379 |
|
| 2017 |
Nazarian N, Fan J, Sin T, Norford L, Kleissl J. Predicting outdoor thermal comfort in urban environments: A 3D numerical model for standard effective temperature Urban Climate. 20: 251-267. DOI: 10.1016/J.Uclim.2017.04.011 |
0.341 |
|
| 2017 |
Kurtz B, Mejia F, Kleissl J. A virtual sky imager testbed for solar energy forecasting Solar Energy. 158: 753-759. DOI: 10.1016/J.Solener.2017.10.036 |
0.377 |
|
| 2017 |
Jamaly M, Kleissl J. Spatiotemporal interpolation and forecast of irradiance data using Kriging Solar Energy. 158: 407-423. DOI: 10.1016/J.Solener.2017.09.057 |
0.397 |
|
| 2017 |
Chu Y, Pedro HTC, Kaur A, Kleissl J, Coimbra CFM. Net load forecasts for solar-integrated operational grid feeders Solar Energy. 158: 236-246. DOI: 10.1016/J.Solener.2017.09.052 |
0.348 |
|
| 2017 |
Bright JM, Babacan O, Kleissl J, Taylor PG, Crook R. A synthetic, spatially decorrelating solar irradiance generator and application to a LV grid model with high PV penetration Solar Energy. 147: 83-98. DOI: 10.1016/J.Solener.2017.03.018 |
0.388 |
|
| 2017 |
Babacan O, Torre W, Kleissl J. Siting and sizing of distributed energy storage to mitigate voltage impact by solar PV in distribution systems Solar Energy. 146: 199-208. DOI: 10.1016/J.Solener.2017.02.047 |
0.31 |
|
| 2017 |
Zhong X, Sahu DK, Kleissl J. WRF inversion base height ensembles for simulating marine boundary layer stratocumulus Solar Energy. 146: 50-64. DOI: 10.1016/J.Solener.2017.02.021 |
0.425 |
|
| 2017 |
Habib AH, Disfani VR, Kleissl J, Callafon RAd. Optimal switchable load sizing and scheduling for standalone renewable energy systems Solar Energy. 144: 707-720. DOI: 10.1016/J.Solener.2017.01.065 |
0.307 |
|
| 2017 |
Kurtz B, Kleissl J. Measuring diffuse, direct, and global irradiance using a sky imager Solar Energy. 141: 311-322. DOI: 10.1016/J.Solener.2016.11.032 |
0.356 |
|
| 2017 |
Babacan O, Ratnam EL, Disfani VR, Kleissl J. Distributed energy storage system scheduling considering tariff structure, energy arbitrage and solar PV penetration Applied Energy. 205: 1384-1393. DOI: 10.1016/J.Apenergy.2017.08.025 |
0.333 |
|
| 2017 |
Ghonima MS, Yang H, Kim CK, Heus T, Kleissl J. Evaluation of WRF SCM Simulations of Stratocumulus‐Topped Marine and Coastal Boundary Layers and Improvements to Turbulence and Entrainment Parameterizations Journal of Advances in Modeling Earth Systems. 9: 2635-2653. DOI: 10.1002/2017Ms001092 |
0.326 |
|
| 2016 |
Urquhart B, Kurtz B, Kleissl J. Sky camera geometric calibration using solar observations Atmospheric Measurement Techniques. 9: 4279-4294. DOI: 10.5194/Amt-9-4279-2016 |
0.347 |
|
| 2016 |
Mejia FA, Kurtz B, Murray K, Hinkelman LM, Sengupta M, Xie Y, Kleissl J. Coupling sky images with radiative transfer models: a new method to estimate
cloud optical depth Atmospheric Measurement Techniques. 9: 4151-4165. DOI: 10.5194/Amt-9-4151-2016 |
0.356 |
|
| 2016 |
Ghonima MS, Heus T, Norris JR, Kleissl J. Factors Controlling Stratocumulus Cloud Lifetime over Coastal Land Journal of the Atmospheric Sciences. 73: 2961-2983. DOI: 10.1175/Jas-D-15-0228.1 |
0.413 |
|
| 2016 |
Pecenak ZK, Mejia FA, Kurtz B, Evan A, Kleissl J. Simulating irradiance enhancement dependence on cloud optical depth and solar zenith angle Solar Energy. 136: 675-681. DOI: 10.1016/J.Solener.2016.07.045 |
0.342 |
|
| 2016 |
Yang H, Kleissl J. Preprocessing WRF initial conditions for coastal stratocumulus forecasting Solar Energy. 133: 180-193. DOI: 10.1016/J.Solener.2016.04.003 |
0.41 |
|
| 2016 |
Nguyen A, Velay M, Schoene J, Zheglov V, Kurtz B, Murray K, Torre B, Kleissl J. High PV penetration impacts on five local distribution networks using high resolution solar resource assessment with sky imager and quasi-steady state distribution system simulations Solar Energy. 132: 221-235. DOI: 10.1016/J.Solener.2016.03.019 |
0.355 |
|
| 2016 |
Zhong X, Ruiz-Arias JA, Kleissl J. Dissecting surface clear sky irradiance bias in numerical weather prediction: Application and corrections to the New Goddard Shortwave Scheme Solar Energy. 132: 103-113. DOI: 10.1016/J.Solener.2016.03.009 |
0.322 |
|
| 2016 |
Wang G, Kurtz B, Kleissl J. Cloud base height from sky imager and cloud speed sensor Solar Energy. 131: 208-221. DOI: 10.1016/J.Solener.2016.02.027 |
0.381 |
|
| 2016 |
Nazarian N, Kleissl J. Realistic solar heating in urban areas: Air exchange and street-canyon ventilation Building and Environment. 95: 75-93. DOI: 10.1016/J.Buildenv.2015.08.021 |
0.348 |
|
| 2015 |
Mejia FA, Kurtz B, Murray K, Hinkelman LM, Sengupta M, Xie Y, Kleissl J. Coupling sky images with three-dimensional radiative transfer models: a new method to estimate cloud optical depth Atmospheric Measurement Techniques Discussions. 8: 11285-11321. DOI: 10.5194/Amtd-8-11285-2015 |
0.35 |
|
| 2015 |
Urquhart B, Kurtz B, Dahlin E, Ghonima M, Shields JE, Kleissl J. Development of a sky imaging system for short-term solar power forecasting Atmospheric Measurement Techniques. 8: 875-890. DOI: 10.5194/Amt-8-875-2015 |
0.337 |
|
| 2015 |
Ghonima MS, Norris JR, Heus T, Kleissl J. Reconciling and Validating the Cloud Thickness and Liquid Water Path Tendencies Proposed by R. Wood and J. J. van der Dussen et al. Journal of the Atmospheric Sciences. 72: 2033-2040. DOI: 10.1175/Jas-D-14-0287.1 |
0.303 |
|
| 2015 |
Nazarian N, Kleissl J. CFD simulation of an idealized urban environment: Thermal effects of geometrical characteristics and surface materials Urban Climate. 12: 141-159. DOI: 10.1016/J.Uclim.2015.03.002 |
0.37 |
|
| 2015 |
Zhong X, Kleissl J. Clear sky irradiances using REST2 and MODIS Solar Energy. 116: 144-164. DOI: 10.1016/J.Solener.2015.03.046 |
0.376 |
|
| 2015 |
Chow CW, Belongie S, Kleissl J. Cloud motion and stability estimation for intra-hour solar forecasting Solar Energy. 115: 645-655. DOI: 10.1016/J.Solener.2015.03.030 |
0.365 |
|
| 2015 |
Chu Y, Urquhart B, Gohari SMI, Pedro HTC, Kleissl J, Coimbra CFM. Short-term reforecasting of power output from a 48 MWe solar PV plant Solar Energy. 112: 68-77. DOI: 10.1016/J.Solener.2014.11.017 |
0.342 |
|
| 2015 |
Lipperheide M, Bosch JL, Kleissl J. Embedded nowcasting method using cloud speed persistence for a photovoltaic power plant Solar Energy. 112: 232-238. DOI: 10.1016/J.Solener.2014.11.013 |
0.338 |
|
| 2014 |
Hong S-, Hendrickx JMH, Kleissl J, Allen RG, Bastiaanssen WGM, Scott RL, Steinwand AL. Evaluation of an extreme-condition-inverse calibration remote sensing model for mapping energy balance fluxes in arid riparian areas Hydrology and Earth System Sciences Discussions. 11: 13479-13539. DOI: 10.5194/Hessd-11-13479-2014 |
0.369 |
|
| 2014 |
Fung V, Bosch JL, Roberts SW, Kleissl J. Cloud shadow speed sensor Atmospheric Measurement Techniques. 7: 1693-1700. DOI: 10.5194/Amt-7-1693-2014 |
0.355 |
|
| 2014 |
Carrasco-Benavides M, Ortega-Farías S, Lagos LO, Kleissl J, Morales-Salinas L, Kilic A. Parameterization of the satellite-based model (METRIC) for the estimation of instantaneous surface energy balance components over a drip-irrigated vineyard Remote Sensing. 6: 11342-11371. DOI: 10.3390/Rs61111342 |
0.351 |
|
| 2014 |
Garai A, Kleissl J, Sarkar S. Flow and heat transfer in convectively unstable turbulent channel flow with solid-wall heat conduction Journal of Fluid Mechanics. 757: 57-81. DOI: 10.1017/Jfm.2014.479 |
0.318 |
|
| 2014 |
Nguyen D(, Kleissl J. Stereographic methods for cloud base height determination using two sky imagers Solar Energy. 107: 495-509. DOI: 10.1016/J.Solener.2014.05.005 |
0.334 |
|
| 2014 |
Yang H, Kurtz B, Nguyen D, Urquhart B, Chow CW, Ghonima M, Kleissl J. Solar irradiance forecasting using a ground-based sky imager developed at UC San Diego Solar Energy. 103: 502-524. DOI: 10.1016/J.Solener.2014.02.044 |
0.381 |
|
| 2014 |
Hanna R, Kleissl J, Nottrott A, Ferry M. Energy dispatch schedule optimization for demand charge reduction using a photovoltaic-battery storage system with solar forecasting Solar Energy. 103: 269-287. DOI: 10.1016/J.Solener.2014.02.020 |
0.314 |
|
| 2014 |
Arias-Castro E, Kleissl J, Lave M. A Poisson model for anisotropic solar ramp rate correlations Solar Energy. 101: 192-202. DOI: 10.1016/J.Solener.2013.12.028 |
0.37 |
|
| 2014 |
Alex Z, Clark A, Cheung W, Zou L, Kleissl J. Minimizing the Lead-Acid Battery Bank Capacity through a Solar PV - Wind Turbine Hybrid System for a high-altitude village in the Nepal Himalayas Energy Procedia. 57: 1516-1525. DOI: 10.1016/J.Egypro.2014.10.144 |
0.335 |
|
| 2014 |
Gohari MI, Urquhart B, Yang H, Kurtz B, Nguyen D, Chow CW, Ghonima M, Kleissl J. Comparison of Solar Power Output Forecasting Performance of the Total Sky Imager and the University of California, San Diego Sky Imager Energy Procedia. 49: 2340-2350. DOI: 10.1016/J.Egypro.2014.03.248 |
0.372 |
|
| 2014 |
Nottrott A, Kleissl J, Keeling R. Modeling passive scalar dispersion in the atmospheric boundary layer with WRF large-eddy simulation Atmospheric Environment. 82: 172-182. DOI: 10.1016/J.Atmosenv.2013.10.026 |
0.396 |
|
| 2014 |
Luoma J, Mathiesen P, Kleissl J. Forecast value considering energy pricing in California Applied Energy. 125: 230-237. DOI: 10.1016/J.Apenergy.2014.03.061 |
0.313 |
|
| 2014 |
Yaghoobian N, Kleissl J, U KTP. An Improved Three-Dimensional Simulation of the Diurnally Varying Street-Canyon Flow Boundary-Layer Meteorology. 153: 251-276. DOI: 10.1007/S10546-014-9940-4 |
0.38 |
|
| 2013 |
Lave M, Kleissl J, Stein JS. A Wavelet-Based Variability Model (WVM) for Solar PV Power Plants Ieee Transactions On Sustainable Energy. 4: 501-509. DOI: 10.1109/Tste.2012.2205716 |
0.305 |
|
| 2013 |
Jamaly M, Bosch JL, Kleissl J. Aggregate Ramp Rates of Distributed Photovoltaic Systems in San Diego County Ieee Transactions On Sustainable Energy. 4: 519-526. DOI: 10.1109/Tste.2012.2201966 |
0.372 |
|
| 2013 |
Mathiesen P, Brown JM, Kleissl J. Geostrophic Wind Dependent Probabilistic Irradiance Forecasts for Coastal California Ieee Transactions On Sustainable Energy. 4: 510-518. DOI: 10.1109/Tste.2012.2200704 |
0.432 |
|
| 2013 |
Garai A, Kleissl J. Interaction between coherent structures and surface temperature and its effect on ground heat flux in an unstably stratified boundary layer Journal of Turbulence. 14: 1-23. DOI: 10.1080/14685248.2013.806812 |
0.366 |
|
| 2013 |
Bosch JL, Kleissl J. Cloud motion vectors from a network of ground sensors in a solar power plant Solar Energy. 95: 13-20. DOI: 10.1016/J.Solener.2013.05.027 |
0.352 |
|
| 2013 |
Mathiesen P, Collier C, Kleissl J. A high-resolution, cloud-assimilating numerical weather prediction model for solar irradiance forecasting Solar Energy. 92: 47-61. DOI: 10.1016/J.Solener.2013.02.018 |
0.411 |
|
| 2013 |
Lave M, Kleissl J. Cloud speed impact on solar variability scaling – Application to the wavelet variability model Solar Energy. 91: 11-21. DOI: 10.1016/J.Solener.2013.01.023 |
0.387 |
|
| 2013 |
Bosch JL, Zheng Y, Kleissl J. Deriving cloud velocity from an array of solar radiation measurements Solar Energy. 87: 196-203. DOI: 10.1016/J.Solener.2012.10.020 |
0.374 |
|
| 2013 |
Mejia F, Kleissl J, Bosch JL. The effect of dust on solar photovoltaic systems Energy Procedia. 49: 2370-2376. DOI: 10.1016/J.Egypro.2014.03.251 |
0.322 |
|
| 2013 |
Garai A, Pardyjak E, Steeneveld G, Kleissl J. Surface Temperature and Surface-Layer Turbulence in a Convective Boundary Layer Boundary-Layer Meteorology. 148: 51-72. DOI: 10.1007/S10546-013-9803-4 |
0.359 |
|
| 2012 |
Ghonima MS, Urquhart B, Chow CW, Shields JE, Cazorla A, Kleissl J. A method for cloud detection and opacity classification based on ground based sky imagery Atmospheric Measurement Techniques. 5: 2881-2892. DOI: 10.5194/Amt-5-2881-2012 |
0.332 |
|
| 2012 |
Yaghoobian N, Kleissl J. Effect of reflective pavements on building energy use Urban Climate. 2: 25-42. DOI: 10.1016/J.Uclim.2012.09.002 |
0.336 |
|
| 2012 |
Luoma J, Kleissl J, Murray K. Optimal inverter sizing considering cloud enhancement Solar Energy. 86: 421-429. DOI: 10.1016/J.Solener.2011.10.012 |
0.33 |
|
| 2012 |
Lave M, Kleissl J, Arias-Castro E. High-frequency irradiance fluctuations and geographic smoothing Solar Energy. 86: 2190-2199. DOI: 10.1016/J.Solener.2011.06.031 |
0.36 |
|
| 2012 |
Yaghoobian N, Kleissl J. An indoor–outdoor building energy simulator to study urban modification effects on building energy use – Model description and validation Energy and Buildings. 54: 407-417. DOI: 10.1016/J.Enbuild.2012.07.019 |
0.328 |
|
| 2012 |
Sun L, Nottrott A, Kleissl J. Effect of hilly urban morphology on dispersion in the urban boundary layer Building and Environment. 48: 195-205. DOI: 10.1016/J.Buildenv.2011.09.005 |
0.346 |
|
| 2011 |
Garai A, Kleissl J. Air and Surface Temperature Coupling in the Convective Atmospheric Boundary Layer Journal of the Atmospheric Sciences. 68: 2945-2954. DOI: 10.1175/Jas-D-11-057.1 |
0.371 |
|
| 2011 |
Patton EG, Horst TW, Sullivan PP, Lenschow DH, Oncley SP, Brown WOJ, Burns SPP, Guenther AB, Held A, Karl T, Mayor SD, Rizzo LV, Spuler SM, Sun J, Turnipseed AA, ... ... Kleissl J, et al. The canopy horizontal array turbulence study Bulletin of the American Meteorological Society. 92: 593-611. DOI: 10.1175/2010Bams2614.1 |
0.383 |
|
| 2011 |
Chow CW, Urquhart B, Lave M, Dominguez A, Kleissl J, Shields J, Washom B. Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed Solar Energy. 85: 2881-2893. DOI: 10.1016/J.Solener.2011.08.025 |
0.398 |
|
| 2011 |
Dominguez A, Kleissl J, Luvall JC. Effects of solar photovoltaic panels on roof heat transfer Solar Energy. 85: 2244-2255. DOI: 10.1016/J.Solener.2011.06.010 |
0.349 |
|
| 2011 |
Mathiesen P, Kleissl J. Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States Solar Energy. 85: 967-977. DOI: 10.1016/J.Solener.2011.02.013 |
0.381 |
|
| 2011 |
Dominguez A, Kleissl J, Luvall JC, Rickman DL. High-resolution urban thermal sharpener (HUTS) Remote Sensing of Environment. 115: 1772-1780. DOI: 10.1016/J.Rse.2011.03.008 |
0.326 |
|
| 2011 |
Nottrott A, Onomura S, Inagaki A, Kanda M, Kleissl J. Convective heat transfer on leeward building walls in an urban environment: Measurements in an outdoor scale model International Journal of Heat and Mass Transfer. 54: 3128-3138. DOI: 10.1016/J.Ijheatmasstransfer.2011.04.020 |
0.374 |
|
| 2010 |
Yaghoobian N, Kleissl J, Krayenhoff ES. Modeling the Thermal Effects of Artificial Turf on the Urban Environment Journal of Applied Meteorology and Climatology. 49: 332-345. DOI: 10.1175/2009Jamc2198.1 |
0.361 |
|
| 2010 |
Nottrott A, Kleissl J. Validation of the NSRDB–SUNY global horizontal irradiance in California Solar Energy. 84: 1816-1827. DOI: 10.1016/J.Solener.2010.07.006 |
0.381 |
|
| 2010 |
Lave M, Kleissl J. Solar variability of four sites across the state of Colorado Renewable Energy. 35: 2867-2873. DOI: 10.1016/J.Renene.2010.05.013 |
0.356 |
|
| 2010 |
Kleissl J, Hartogensis OK, Gomez JD. Test of Scintillometer Saturation Correction Methods Using Field Experimental Data Boundary-Layer Meteorology. 137: 493-507. DOI: 10.1007/S10546-010-9540-X |
0.325 |
|
| 2010 |
Zeweldi DA, Gebremichael M, Wang J, Sammis T, Kleissl J, Miller D. Intercomparison of sensible heat flux from large aperture scintillometer and eddy covariance methods: Field experiment over a homogeneous semi-arid region Boundary-Layer Meteorology. 135: 151-159. DOI: 10.1007/S10546-009-9460-9 |
0.337 |
|
| 2009 |
Kleissl J, Hong S, Hendrickx JMH. New Mexico Scintillometer Network: Supporting Remote Sensing and Hydrologic and Meteorological Models Bulletin of the American Meteorological Society. 90: 207-218. DOI: 10.1175/2008Bams2480.1 |
0.38 |
|
| 2009 |
Kleissl J, Watts CJ, Rodriguez JC, Naif S, Vivoni ER. Scintillometer intercomparison study - Continued Boundary-Layer Meteorology. 130: 437-443. DOI: 10.1007/S10546-009-9352-Z |
0.367 |
|
| 2008 |
Kleissl J, Gomez J, Hong S-, Hendrickx JMH, Rahn T, Defoor WL. Large Aperture Scintillometer Intercomparison Study Boundary-Layer Meteorology. 128: 133-150. DOI: 10.1007/S10546-008-9274-1 |
0.344 |
|
| 2007 |
van Hout R, Zhu W, Luznik L, Katz J, Kleissl J, Parlange MB. PIV measurements in the atmospheric boundary layer within and above a mature corn canopy. Part I: Statistics and energy flux Journal of the Atmospheric Sciences. 64: 2805-2824. DOI: 10.1175/Jas3989.1 |
0.596 |
|
| 2007 |
Kleissl J, Honrath RE, Dziobak MP, Tanner D, Val Martín M, Owen RC, Helmig D. Occurrence of upslope flows at the Pico mountaintop observatory: A case study of orographic flows on a small, volcanic island Journal of Geophysical Research Atmospheres. 112. DOI: 10.1029/2006Jd007565 |
0.384 |
|
| 2006 |
Kleissl J, Honrath RE, Henriques DV. Analysis and Application of Sheppard’s Airflow Model to Predict Mechanical Orographic Lifting and the Occurrence of Mountain Clouds Journal of Applied Meteorology and Climatology. 45: 1376-1387. DOI: 10.1175/Jam2411.1 |
0.369 |
|
| 2006 |
Park S, Kleissl J, Harrison D, Kumar V, Nair N, Adam M, Ondov J, Parlange M. Characteristics of PM2.5 episodes revealed by semi-continuous measurements at the Baltimore supersite at Ponca St Aerosol Science and Technology. 40: 845-860. DOI: 10.1080/02786820600796608 |
0.664 |
|
| 2006 |
Kleissl J, Kumar V, Meneveau C, Parlange MB. Numerical study of dynamic Smagorinsky models in large-eddy simulation of the atmospheric boundary layer: Validation in stable and unstable conditions Water Resources Research. 42. DOI: 10.1029/2005Wr004685 |
0.68 |
|
| 2006 |
Kumar V, Kleissl J, Meneveau C, Parlange MB. Large-eddy simulation of a diurnal cycle of the atmospheric boundary layer: Atmospheric stability and scaling issues Water Resources Research. 42. DOI: 10.1029/2005Wr004651 |
0.68 |
|
| 2005 |
Sapkota A, Symons JM, Kleissl J, Wang L, Parlange MB, Ondov J, Breysse PN, Diette GB, Eggleston PA, Buckley TJ. Impact of the 2002 Canadian forest fires on particulate matter air quality in Baltimore city. Environmental Science & Technology. 39: 24-32. PMID 15667071 DOI: 10.1021/Es035311Z |
0.531 |
|
| 2005 |
Pahlow M, Kleissl J, Parlange MB, Ondov JM, Harrison D. Atmospheric boundary-layer structure observed during a haze event due to forest-fire smoke Boundary-Layer Meteorology. 114: 53-70. DOI: 10.1007/S10546-004-6350-Z |
0.696 |
|
| 2004 |
Kleissl J, Parlange MB, Meneveau C. Field Experimental Study of Dynamic Smagorinsky Models in the Atmospheric Surface Layer Journal of the Atmospheric Sciences. 61: 2296-2307. DOI: 10.1175/1520-0469(2004)061<2296:Fesods>2.0.Co;2 |
0.657 |
|
| 2004 |
Horst TW, Kleissl J, Lenschow DH, Meneveau C, Moeng C, Parlange MB, Sullivan PP, Weil JC. HATS: Field Observations to Obtain Spatially Filtered Turbulence Fields from Crosswind Arrays of Sonic Anemometers in the Atmospheric Surface Layer* Journal of the Atmospheric Sciences. 61: 1566-1581. DOI: 10.1175/1520-0469(2004)061<1566:Hfotos>2.0.Co;2 |
0.653 |
|
| 2003 |
Kleissl J, Meneveau C, Parlange MB. On the Magnitude and Variability of Subgrid-Scale Eddy-Diffusion Coefficients in the Atmospheric Surface Layer Journal of the Atmospheric Sciences. 60: 2372-2388. DOI: 10.1175/1520-0469(2003)060<2372:Otmavo>2.0.Co;2 |
0.682 |
|
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