Barker D M, Huang W, Guo Y R, et al. 2004. A three-dimensional variational data assimilation system for MM5: Implementation and initial results. Mon Weather Rev, 132: 897-914
[20]
Barrett D J, Renzullo L J. 2009. On the efficacy of combining thermal and microwave satellite data as observational constraints for root-zone soil moisture estimation. J Hydrometeorol, 10: 1109-1127
[21]
Case J L, Crosson W L, Kumar S V, et al. 2008. Impacts of high-resolution land surface initialization on regional sensible weather forecasts from the WRF model. J Hydrometeorol, 9: 1249-1266
[22]
Chen F, Dudhia J. 2001a. Coupling an advanced land surface-hydrology model with the penn state-ncar MM5 modeling system. Part i: Model implementation and sensitivity. Mon Weather Rev, 129: 569-585
[23]
Chen F, Dudhia J. 2001b. Coupling an advanced land surface-hydrology model with the penn state-ncar MM5 modeling system. Part ii: Preliminary model validation. Mon Weather Rev, 129: 587-604
[24]
Chen F, Manning K W, LeMone M A, et al. 2007. Description and evaluation of the characteristics of the ncar high-resolution land data assimilation system. J Appl Meteorol Clim, 46: 694-713
[25]
Cheng T T, Han Z W, Zhang R J, et al. 2010. Black carbon in a continental semi-arid area of Northeast China and its possible sources of fire emission. J Geophys Res, 115: D23204, doi: 10.1029/2009JD13523
[26]
Chu P C, Lu S H, Chen Y C. 2005. A numerical modeling study on desert oasis self-supporting mechanisms. J Hydrol, 312: 256-276
Dudhia J. 1989. Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J Atmos Sci, 46: 3077-3107
[29]
Grell G A, Dudhia J, Stauffer D R. 1994. A description of the fifth-generation Penn State/NCAR mesoscale model (MM5). NCAR Technical Note. NCAR/TN-398+STR, doi: 10.5065/D60Z716B
[30]
Gu J F, Xiao Q N, Kuo Y H, et al. 2005. Assimilation and simulation of typhoon Rusa (2002) using the WRF system. Adv Atmos Sci, 22: 415-427
[31]
Gutman G, Ignatov A. 1998. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int J Remote Sens, 19: 1533-1543
[32]
Hanna S R, Yang R X. 2001. Evaluations of mesoscale models'' simulations of near-surface winds, temperature gradients, and mixing depths. J Appl Meteorol, 40: 1095-1104
[33]
Huang J P, Zhang W, Zuo J Q, et al. 2008. An overview of the semi-arid climate and environment research observatory over the Loess Plateau. Adv Atmos Sci, 25: 906-921
[34]
Irmak A, Kamble B. 2009. Evapotranspiration data assimilation with genetic algorithms and SWAP model for on-demand irrigation. Irrigation Sci, 28: 101-112
[35]
Janjic Z I. 1990. The step-mountain coordinate: Physical package. Mon Weather Rev, 118: 1429-1443
[36]
Janjic Z I.1996. The surface layer in the NCEP Eta model. Eleventh Conference on Numerical Weather Prediction. 354-355
[37]
Janjic Z I. 2002. Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the ncep meso model. NCEP Office Note. 61
[38]
Janjic Z I, Black T L, DiMego G. 1998. Contributions toward development of a future community mesoscale model (WRF). 16th Conference on Weather Analysis and Forecasting/Symposium on the Research Foci of the US Weather Research Program. 258-261
[39]
Kain J S, Fritsch J M. 1993. Convective parameterization for mesoscale models: The Kain-Fritsch scheme. The Representation of Cumulus Convection in Numerical Models Meter. Meteorol Monogr, 46: 165-170
[40]
Kumar S, Sekhar M, Bandyopadhyay S. 2009. Assimilation of remote sensing and hydrological data using adaptive filtering techniques for watershed modelling. Curr Sci India, 97: 1196-1202
[41]
Li F Q, Crow W T, Kustas W P. 2010. Towards the estimation root-zone soil moisture via the simultaneous assimilation of thermal and microwave soil moisture retrievals. Adv Water Resour, 33: 201-214
[42]
Lin Y L, Farley R D, Orville H D. 1983. Bulk parameterization of the snow field in a cloud model. J Clim Appl Meteorol, 22: 1065-1092
[43]
Lorenc A C. 1986. Analysis-methods for numerical weather prediction. Q J Roy Meteor Soc, 112: 1177-1194
[44]
Meng X H, Lu S H, Zhang T T, et al. 2009. Numerical simulations of the atmospheric and land conditions over the Jinta oasis in northwestern China with satellite-derived land surface parameters. J Geophys Res, 114: 100-120
[45]
Mlawer E J, Taubman S J, Brown P D, et al. 1997. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res, 102: 16663-16682
[46]
Pan X D, Tian X J, Li X, et al. 2012. Assimilating Doppler radar radial velocity and reflectivity observations in the weather research and forecasting model by a proper orthogonal-decomposition-based ensemble, three-dimensional variational assimilation method. J Geophys Res, 117: D17113, doi: 10.1029/2012JD017684
[47]
Tanaka K, Ishikawa H, Hayashi T, et al. 2001. Surface energy budget at Amdo on the Tibetan Plateau using GAME/Tibet IOP98 data. J Meteorol Soc Jpn, 79: 505-517
[48]
Wen X H, Lu S H, Jin J M. 2012. Integrating remote sensing data with WRF for improved simulations of oasis effects on local weather processes over an arid region in northwestern China. J Hydrometeorol, 13: 573-587
[49]
Xue M, Droegemeier K K, Wong V. 2000. The Advanced Regional Prediction System (ARPS)—A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part i: Model dynamics and verification. Meteorol Atmos Phys, 75: 161-193
[50]
Yang K, Koike T, Kaihotsu I, et al. 2009. Validation of a dual-pass microwave land data assimilation system for estimating surface soil moisture in semiarid regions. J Hydrometeorol, 10: 780-793
