{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:07:09Z","timestamp":1767337629947,"version":"build-2065373602"},"reference-count":71,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,22]],"date-time":"2018-04-22T00:00:00Z","timestamp":1524355200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>To obtain independent, consecutive, and high-resolution precipitation data, the four-dimensional variational (4D-Var) method was applied to directly assimilate satellite precipitation products into the Weather Research and Forecasting (WRF) model. The precipitation products of the Tropical Rainfall Measuring Mission 3B42 (TRMM 3B42) and its successor, the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM IMERG) were assimilated in this study. Two heavy precipitation events that occurred over the Huaihe River basin in eastern China were studied. Before assimilation, the WRF model simulations were first performed with different forcing data to select more suitable forcing data and determine the control experiments for the subsequent assimilation experiments. Then, TRMM 3B42 and GPM IMERG were separately assimilated into the WRF. The simulated precipitation results in the outer domain (D01), with a 27-km resolution, and the inner domain (D02), with a 9-km resolution, were evaluated in detail. The assessments showed that (1) 4D-Var with TRMM 3B42 or GPM IMERG could both significantly improve WRF precipitation predictions at a time interval of approximately 12 h; (2) the WRF simulated precipitation assimilated with GPM IMERG outperformed the one with TRMM 3B42; (3) for the WRF output precipitation assimilated with GPM IMERG over D02, which has spatiotemporal resolutions of 9 km and 50 s, the correlation coefficients of the studied events in August and November were 0.74 and 0.51, respectively, at the point and daily scales, and the mean Heidke skill scores for the two studied events both reached 0.31 at the grid and hourly scales. This study can provide references for the assimilation of TRMM 3B42 or GPM IMERG into the WRF model using 4D-Var, which is especially valuable for hydrological applications of GPM IMERG during the transition period from the TRMM era into the GPM era.<\/jats:p>","DOI":"10.3390\/rs10040646","type":"journal-article","created":{"date-parts":[[2018,4,24]],"date-time":"2018-04-24T04:44:48Z","timestamp":1524545088000},"page":"646","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Evaluation of Heavy Precipitation Simulated by the WRF Model Using 4D-Var Data Assimilation with TRMM 3B42 and GPM IMERG over the Huaihe River Basin, China"],"prefix":"10.3390","volume":"10","author":[{"given":"Lu","family":"Yi","sequence":"first","affiliation":[{"name":"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093, China"},{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Wanchang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1038\/415512a","article-title":"Quantifying the risk of extreme seasonal precipitation events in a changing climate","volume":"415","author":"Palmer","year":"2002","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1023\/A:1005432803188","article-title":"Changes in the probability of heavy precipitation: Important indicators of climatic change","volume":"42","author":"Groisman","year":"1999","journal-title":"Clim. Chang."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1175\/1520-0477(2001)082<0219:HPAHSI>2.3.CO;2","article-title":"Heavy precipitation and high streamflow in the contiguous United States: Trends in the twentieth century","volume":"82","author":"Groisman","year":"2001","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10584-017-2079-9","article-title":"Heavy precipitation is highly sensitive to the magnitude of future warming","volume":"145","author":"Zhang","year":"2017","journal-title":"Clim. Chang."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.rse.2015.03.008","article-title":"Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations","volume":"163","author":"Zeng","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4929","DOI":"10.1109\/TGRS.2016.2553085","article-title":"A Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over United States and Europe Using Ground-Based Measurements","volume":"54","author":"Zeng","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Pan, X.D., Li, X., Cheng, G.D., and Hong, Y. (2017). Effects of 4D-Var data assimilation using remote sensing precipitation products in a WRF Model over the complex terrain of an arid region river basin. Remote Sens., 9.","DOI":"10.3390\/rs9090963"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3276","DOI":"10.1175\/MWR-D-14-00337.1","article-title":"Quantifying precipitation uncertainty for land data assimilation applications","volume":"143","author":"Alemohammad","year":"2015","journal-title":"Mon. Weather Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1222","DOI":"10.1016\/j.advwatres.2011.05.007","article-title":"Evaluation of precipitation products over complex mountainous terrain: A water resources perspective","volume":"34","author":"Ward","year":"2011","journal-title":"Adv. Water Resour."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2184","DOI":"10.1002\/jgrd.50250","article-title":"Evaluation of TRMM 3B42 precipitation estimates of tropical cyclone rainfall using PACRAIN data","volume":"118","author":"Chen","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3879","DOI":"10.5194\/hess-21-3879-2017","article-title":"The future of earth observation in hydrology","volume":"21","author":"McCabe","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2487","DOI":"10.1029\/1999WR900142","article-title":"Effect of bias adjustment and rain gauge data quality control on radar rainfall estimation","volume":"35","author":"Steiner","year":"1999","journal-title":"Water Resour. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1175\/JHM-D-11-088.1","article-title":"The hydrological cycle in three state-of-the-art reanalyses: Intercomparison and performance analysis","volume":"13","author":"Lorenz","year":"2012","journal-title":"J. Hydrometeorol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1175\/1520-0477(1997)078<0005:TGPCPG>2.0.CO;2","article-title":"The Global Precipitation Climatology Project (GPCP) combined precipitation dataset","volume":"78","author":"Huffman","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1175\/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2","article-title":"CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution","volume":"5","author":"Joyce","year":"2004","journal-title":"J. Hydrometeorol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1175\/1520-0450(2001)040<1961:TJSSIO>2.0.CO;2","article-title":"The joanne simpson special issue on the Tropical Rainfall Measuring Mission (TRMM)","volume":"39","author":"Garstang","year":"2000","journal-title":"J. Appl. Meteorol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1175\/BAMS-D-13-00164.1","article-title":"The global precipitation measurement mission","volume":"95","author":"Hou","year":"2014","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2799","DOI":"10.1175\/JHM-D-16-0087.1","article-title":"First-year evaluation of GPM rainfall over the Netherlands: IMERG Day 1 final run (VO3D)","volume":"17","author":"Gaona","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Schmidli, J., Goodess, C.M., Frei, C., Haylock, M.R., Hundecha, Y., Ribalaygua, J., and Schmith, T. (2007). Statistical and dynamical downscaling of precipitation: An evaluation and comparison of scenarios for the European Alps. J. Geophys. Res. Atmos., 112.","DOI":"10.1029\/2005JD007026"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1844","DOI":"10.1175\/JHM-D-12-0174.1","article-title":"Using NWP simulations in satellite rainfall estimation of heavy precipitation events over mountainous areas","volume":"14","author":"Zhang","year":"2013","journal-title":"J. Hydrometeorol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"45","DOI":"10.2151\/sola.2005-013","article-title":"Assimilation of precipitation data to the JMA mesoscale model with a four-dimensional variational method and its impact on precipitation forecasts","volume":"1","author":"Koizumi","year":"2005","journal-title":"Sola"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Mazrooei, A., Sinha, T., Sankarasubramanian, A., Kumar, S., and Peters-Lidard, C.D. (2015). Decomposition of sources of errors in seasonal streamflow forecasting over the US Sunbelt. J. Geophys. Res. Atmos., 120.","DOI":"10.1002\/2015JD023687"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1175\/2008JHM990.1","article-title":"Impacts of high-resolution land surface initialization on regional sensible weather forecasts from the WRF Model","volume":"9","author":"Case","year":"2008","journal-title":"J. Hydrometeorol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1175\/JHM-D-11-035.1","article-title":"WRF model simulation of two Alberta flooding events and the impact of topography","volume":"13","author":"Flesch","year":"2012","journal-title":"J. Hydrometeorol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1429","DOI":"10.1175\/1520-0493(1990)118<1429:TSMCPP>2.0.CO;2","article-title":"The step-mountain coordinate -physical package","volume":"118","author":"Janjic","year":"1990","journal-title":"Mon. Weather Rev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1175\/1520-0434(1994)009<0265:TNNMEM>2.0.CO;2","article-title":"The new NMC mesoscale ETA model\u2014Description and forecast examples","volume":"9","author":"Black","year":"1994","journal-title":"Weather Forecast."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.1175\/1520-0493(1988)116<1493:TSMCMD>2.0.CO;2","article-title":"The step-mountain coordinate - model description and performance for cases of description and performance for cases of Alpine Lee Cyclongensis and for a case of an Appalachian redevelopment","volume":"116","author":"Mesinger","year":"1988","journal-title":"Mon. Weather Rev."},{"key":"ref_28","unstructured":"Dudhia, J., Klemp, J., Skamarock, W., Dempsey, D., Janjic, Z., Benjamin, S., Brown, J., and Ams, A.M.S. (1998, January 11\u201316). A collaborative effort towards a future community mesoscale model (WRF). Proceedings of the 12th Conference on Numerical Weather Prediction, Phoenix, AZ, USA."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1175\/MWR3120.1","article-title":"The operational JMA nonhydrostatic mesoscale model","volume":"134","author":"Saito","year":"2006","journal-title":"Mon. Weather Rev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1002\/qj.49712252905","article-title":"The ECMWF ensemble prediction system: Methodology and validation","volume":"122","author":"Molteni","year":"1996","journal-title":"Quart. J. R. Meteorol. Soc."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.5194\/acp-12-2409-2012","article-title":"Some issues in uncertainty quantification and parameter tuning: A case study of convective parameterization scheme in the WRF regional climate model","volume":"12","author":"Yang","year":"2012","journal-title":"Atmos. Chem. Phys."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2817","DOI":"10.5194\/gmd-7-2817-2014","article-title":"Uncertainty in Lagrangian pollutant transport simulations due to meteorological uncertainty from a mesoscale WRF ensemble","volume":"7","author":"Angevine","year":"2014","journal-title":"Geosci. Model Dev."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1175\/1520-0469(1949)006<0386:OWMA>2.0.CO;2","article-title":"Objective Weather-manp analysis","volume":"6","author":"Panofsky","year":"1949","journal-title":"J. Meteorol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/0016-0032(66)90226-2","article-title":"Random sampling of random processes\u2014Optimum linear interpolation","volume":"281","author":"Leneman","year":"1966","journal-title":"J. Frankl. Inst. Eng. Appl. Math."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"77","DOI":"10.2151\/jmsj1923.36.3_77","article-title":"An objective analysis based on the variational method","volume":"36","author":"Sasaki","year":"1958","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1175\/1520-0493(1970)098<0875:SBFINV>2.3.CO;2","article-title":"Some basic formalisms in numerical variational analysis","volume":"98","author":"Sasaki","year":"1970","journal-title":"Mon. Weather Rev."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"10143","DOI":"10.1029\/94JC00572","article-title":"Sequential data assimilation with a nonlinear quasi-geostrophic model using monte-carlo methods to forecast error statistics","volume":"99","author":"Evensen","year":"1994","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1175\/1520-0493(1997)125<1342:ADAFSN>2.0.CO;2","article-title":"Advanced data assimilation for strongly nonlinear dynamics","volume":"125","author":"Evensen","year":"1997","journal-title":"Mon. Weather Rev."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/BF01029787","article-title":"Variational data assimilation in the tropics using precipitation data part I: Column model","volume":"60","author":"Tsuyuki","year":"1996","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1112","DOI":"10.1175\/1520-0493(1995)123<1112:FDVAOP>2.0.CO;2","article-title":"4-dimensional variational assimilation of precipitation data","volume":"123","author":"Zupanski","year":"1995","journal-title":"Mon. Weather Rev."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2098","DOI":"10.1175\/2010MWR3565.1","article-title":"Direct 4D-Var assimilation of NCEP stage IV radar and gauge precipitation data at ECMWF","volume":"139","author":"Lopez","year":"2011","journal-title":"Mon. Weather Rev."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1175\/JHM-D-14-0042.1","article-title":"Dynamical precipitation downscaling for hydrologic applications using WRF 4D-Var data assimilation: Implications for GPM era","volume":"16","author":"Lin","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1002\/qj.2215","article-title":"Assessing the impact of pre-GPM microwave precipitation observations in the Goddard WRF ensemble data assimilation system","volume":"140","author":"Chambon","year":"2014","journal-title":"Quart. J. R. Meteorol. Soc."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1002\/qj.2665","article-title":"Performance of 4D-Var NWP-based nowcasting of precipitation at the Met Office for summer 2012","volume":"142","author":"Ballard","year":"2016","journal-title":"Quart. J. R. Meteorol. Soc."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2776","DOI":"10.1175\/1520-0493(1993)121<2776:FMOONC>2.0.CO;2","article-title":"Fitting microphysical observations of nonsteady convective clouds to a numerical model: An application of the adjoint technique of data assimilation to a kinematic model","volume":"121","author":"Verlinde","year":"1993","journal-title":"Mon. Weather Rev."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s11442-012-0921-6","article-title":"Spatio-temporal trend and statistical distribution of extreme precipitation events in Huaihe River Basin during 1960\u20132009","volume":"22","author":"Xia","year":"2012","journal-title":"J. Geogr. Sci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"3690","DOI":"10.1002\/2013WR014555","article-title":"The variability of vertical structure of precipitation in Huaihe River Basin of China: Implications from long-term spaceborne observations with TRMM precipitation radar","volume":"50","author":"Cao","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/S0022-1694(01)00561-3","article-title":"Chaotic dynamics of the flood series in the Huaihe River Basin for the last 500 years","volume":"258","author":"Zhou","year":"2002","journal-title":"J. Hydrol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1175\/JHM560.1","article-title":"The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales","volume":"8","author":"Huffman","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.jhydrol.2015.12.008","article-title":"Evaluation of GPM Day-1 IMERG and TMPA version-7 legacy products over Mainland China at multiple spatiotemporal scales","volume":"533","author":"Tang","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Skofronick-Jackson, G., Huffman, G., Stocker, E., and Petersen, W. (2016, January 10\u201315). Successes with the Global Precipitation Measurment (GPM) mission in 2016 Ieee International Geoscience and Remote Sensing Symposium. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.","DOI":"10.1109\/IGARSS.2016.7730015"},{"key":"ref_52","unstructured":"52. Xuan, Z., Yali, L., and Xueliang, G. (2015). Application of a CMORPH-a WS merged hourly gridded precipitation product in analyzing charateristics of short-duration heavy rainfall over southern China. J. Trop. Meteorol., 31, 333\u2013344."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1795","DOI":"10.5194\/hess-15-1795-2011","article-title":"WRF simulation of a precipitation event over the Tibetan Plateau, China\u2014An assessment using remote sensing and ground observations","volume":"15","author":"Maussion","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.1175\/2009MWR2968.1","article-title":"Development of an effective double-moment cloud microphysics scheme with prognostic Cloud Condensation Nuclei (CCN) for weather and climate models","volume":"138","author":"Lim","year":"2010","journal-title":"Mon. Weather Rev."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"16663","DOI":"10.1029\/97JD00237","article-title":"Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave","volume":"102","author":"Mlawer","year":"1997","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"3077","DOI":"10.1175\/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2","article-title":"Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model","volume":"46","author":"Dudhia","year":"1989","journal-title":"J. Atmos. Sci."},{"key":"ref_57","first-page":"569","article-title":"Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system","volume":"129","author":"Chen","year":"2001","journal-title":"Part I: Model implementation and sensitivity. Mon. Weather Rev."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"2318","DOI":"10.1175\/MWR3199.1","article-title":"A new vertical diffusion package with an explicit treatment of entrainment processes","volume":"134","author":"Hong","year":"2006","journal-title":"Mon. Weather Rev."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Grell, G.A., and Devenyi, D. (2002). A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29.","DOI":"10.1029\/2002GL015311"},{"key":"ref_60","first-page":"1367","article-title":"A strategy for operational implementation of 4D-Var, using an incremental approach","volume":"120","author":"Courtier","year":"1994","journal-title":"Quart. J. R. Meteorol. Soc."},{"key":"ref_61","first-page":"1889","article-title":"Multiple-truncation incremental approach for four-dimensional variational data assimilation","volume":"124","author":"Veerse","year":"1998","journal-title":"Quart. J. R. Meteorol. Soc."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"3167","DOI":"10.1256\/qj.02.131","article-title":"Modelling of error covariances by 4D-Var data assimilation","volume":"129","author":"Lorenc","year":"2003","journal-title":"Quart. J. R. Meteorol. Soc."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1175\/BAMS-D-11-00167.1","article-title":"The weather research and forecasting model\u2019s community variational\/ensemble data assimilation system WRFDA","volume":"93","author":"Barker","year":"2012","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1175\/2008MWR2577.1","article-title":"Four-dimensional variational data assimilation for WRF: Formulation and preliminary results","volume":"137","author":"Huang","year":"2009","journal-title":"Mon. Weather Rev."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1175\/1520-0493(1992)120<1019:IOTHMU>2.0.CO;2","article-title":"Initialization of the hirlam model using a digital-filter","volume":"120","author":"Lynch","year":"1992","journal-title":"Mon. Weather Rev."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1175\/1520-0493(2001)129<2089:IOTDFA>2.0.CO;2","article-title":"Impact of the digital filter as a weak constraint in the preoperational 4DVAR assimilation system of Meteo-France","volume":"129","author":"Gauthier","year":"2001","journal-title":"Mon. Weather Rev."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1175\/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2","article-title":"The national-meteorological-centers spectral statistical-interpolation analysis system Mon","volume":"120","author":"Parrish","year":"1992","journal-title":"Weather Rev."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s10546-014-9925-3","article-title":"Evaluation of the Weather Research and Forecasting mesoscale model for GABLS3: Impact of boundary-layer schemes, boundary conditions and spin-up","volume":"152","author":"Kleczek","year":"2014","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1007\/s11069-014-1125-4","article-title":"Implications of vortex initialization and model spin-up in tropical cyclone prediction using Advanced Research Weather Research and Forecasting Model","volume":"73","author":"Srinivas","year":"2014","journal-title":"Nat. Hazards"},{"key":"ref_70","unstructured":"Wilks, D.S. (2006). Statistical Methods in the Atmospheric Sciences, Academic Press."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"7183","DOI":"10.1029\/2000JD900719","article-title":"Summarizing multiple aspects of model performance in a single diagram","volume":"106","author":"Taylor","year":"2001","journal-title":"J. Geophys. Res. Atmos."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/646\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:01:41Z","timestamp":1760194901000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/646"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,22]]},"references-count":71,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2018,4]]}},"alternative-id":["rs10040646"],"URL":"https:\/\/doi.org\/10.3390\/rs10040646","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2018,4,22]]}}}