{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:43:52Z","timestamp":1760168632559,"version":"build-2065373602"},"reference-count":61,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T00:00:00Z","timestamp":1631145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key Research and Development Program of China","award":["2017YFC1502102"],"award-info":[{"award-number":["2017YFC1502102"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41175092"],"award-info":[{"award-number":["41175092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A moderate precipitation event occurring in northern Xinjiang, a region with a continental climate with little rainfall, and in leeward slope areas influenced by topography is important but rarely studied. In this study, the performance of lightning data assimilation is evaluated in the short-term forecasting of a moderate precipitation event along the western margin of the Junggar Basin and eastern Jayer Mountain. Pseudo-water vapor observations driven by lightning data are assimilated in both single and cycling analysis experiments of the Weather Research and Forecast (WRF) three-dimensional variational (3DVAR) system. Lightning data assimilation yields a larger increment in the relative humidity in the analysis field at the observed lightning locations, and the largest increment is obtained in the cycling analysis experiment. Due to the increase in water vapor content in the analysis field, more suitable thermal and dynamic conditions for moderate precipitation are obtained on the leeward slope, and the ice-phase and raindrop particle contents increase in the forecast field. Lightning data assimilation significantly improves the short-term leeward slope moderate precipitation prediction along the western margin of the Junggar Basin and provides the best forecast skill in cycling analysis experiments.<\/jats:p>","DOI":"10.3390\/rs13183584","type":"journal-article","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T21:36:58Z","timestamp":1631223418000},"page":"3584","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Impact of Lightning Data Assimilation on Forecasts of a Leeward Slope Precipitation Event in the Western Margin of the Junggar Basin"],"prefix":"10.3390","volume":"13","author":[{"given":"Peng","family":"Liu","sequence":"first","affiliation":[{"name":"Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7813-6616","authenticated-orcid":false,"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Xin","sequence":"additional","affiliation":[{"name":"Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7122-7160","authenticated-orcid":false,"given":"Chenghai","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,9]]},"reference":[{"key":"ref_1","first-page":"67","article-title":"Research of climatic regionalization with climate change in Xinjiang","volume":"34","author":"Mao","year":"2008","journal-title":"Meteorol. Mon."},{"key":"ref_2","first-page":"90","article-title":"Variation and projection of drought and wet conditions in Xinjiang","volume":"33","author":"Jiang","year":"2009","journal-title":"Chin. J. Atmos. Sci."},{"key":"ref_3","first-page":"326","article-title":"Characteristics of Area Precipitation in Xinjiang Region with Its Variations","volume":"19","author":"Shi","year":"2008","journal-title":"J. Appl. Meteorol. Sci."},{"key":"ref_4","unstructured":"Xin, Y., Cheng, H.W., Zhang, G.X., Zhang, X., Ge, L.U., and Li-Jian, B.O. (2008). Characteristics of temporal and spatial distributions of annual precipitation in xinjiang. Plateau Meteorol."},{"key":"ref_5","unstructured":"Zhou, J.R., Wang, M.X., and Yang, R. (2010). Analysis on the change characteristics of precipitation in the last 50 years in kelamayi city. Desert Oasis Meteorol., 4, Available online: http:\/\/en.cnki.com.cn\/Article_en\/CJFDTOTAL-XJQX201004010.htm."},{"key":"ref_6","first-page":"948","article-title":"Numerical simulation on a rare severe convective event in Karamay city in July 2012","volume":"40","author":"Lu","year":"2014","journal-title":"Meteorol. Mon."},{"key":"ref_7","first-page":"1218","article-title":"Numerical study of severe downslope winds at Kelamayi, Xinjiang","volume":"72","author":"Lu","year":"2014","journal-title":"Acta Meteorol. Sin."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3439","DOI":"10.1256\/qj.05.149","article-title":"Convective-scale assimilation of radar data: Progress and challenges","volume":"131","author":"Sun","year":"2005","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3351","DOI":"10.1175\/2009JAS3121.1","article-title":"Impact of airborne doppler radar data assimilation on the numerical simulation of intensity changes of hurricane dennis near a landfall","volume":"66","author":"Pu","year":"2009","journal-title":"J. Atmos. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2245","DOI":"10.1175\/MWR-D-12-00169.1","article-title":"Radar data assimilation with WRF 4D-Var. Part II: Comparison with 3D-Var for a squall line over the U.S. Great plains","volume":"141","author":"Sun","year":"2013","journal-title":"Mon. Weather Rev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1175\/1520-0469(1989)046<0221:LRRTTS>2.0.CO;2","article-title":"Lightning Rates Relative to Tornadic Storm Evolution on 22 May 1981","volume":"46","author":"MacGorman","year":"1989","journal-title":"J. Atmos. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2583","DOI":"10.1175\/MWR2994.1","article-title":"The electrical structure of two supercell storms during STEPS","volume":"133","author":"MacGorman","year":"2005","journal-title":"Mon. Weather Rev."},{"key":"ref_13","first-page":"244","article-title":"Lightning data and study of thunderstorm nowcasting","volume":"7","author":"Qie","year":"1993","journal-title":"Acta Meteorol. Sin."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1175\/WAF-D-10-05026.1","article-title":"Lightning and Severe Weather: A Comparison between Total and Cloud-to-Ground Lightning Trends","volume":"26","author":"Schultz","year":"2011","journal-title":"Weather Forecast."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.atmosres.2013.01.006","article-title":"The GOES-R Geostationary Lightning Mapper (GLM)","volume":"125\u2013126","author":"Goodman","year":"2013","journal-title":"Atmos. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1175\/BAMS-D-16-0065.1","article-title":"Introducing the new generation of chinese geostationary weather satellites, fengyun-4","volume":"98","author":"Yang","year":"2017","journal-title":"Bull. Amer. Meteor. Soc."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1175\/1520-0493(1999)127<1433:TEOARR>2.0.CO;2","article-title":"The effect of assimilating rain rates derived from satellites and lightning on forecasts of the 1993 superstorm","volume":"127","author":"Alexander","year":"1999","journal-title":"Mon. Weather Rev."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1175\/1520-0493(2001)129<1809:TEOSMA>2.0.CO;2","article-title":"The effect of spaceborne microwave and ground-based continuous lightning measurements on forecasts of the 1998 Groundhog Day storm","volume":"129","author":"Chang","year":"2001","journal-title":"Mon. Weather Rev."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3177","DOI":"10.1175\/2009MWR2765.1","article-title":"The Impact of Lightning Data Assimilation on a Winter Storm Simulation over the North Pacific Ocean","volume":"137","author":"Pessi","year":"2009","journal-title":"Mon. Weather Rev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1175\/MWR2957.1","article-title":"Improving convective precipitation forecasting through assimilation of regional lightning measurements in a mesoscale model","volume":"133","author":"Papadopoulos","year":"2005","journal-title":"Mon. Weather Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.atmosres.2009.05.008","article-title":"Evaluating the impact of lightning data assimilation on mesoscale model simulations of a flash flood inducing storm","volume":"94","author":"Papadopoulos","year":"2009","journal-title":"Atmos. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1732","DOI":"10.1175\/MWR3387.1","article-title":"A lightning data assimilation technique for mesoscale forecast models","volume":"135","author":"Mansell","year":"2007","journal-title":"Mon. Weather Rev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3683","DOI":"10.1175\/MWR-D-14-00061.1","article-title":"Storm-scale ensemble kalman filter assimilation of total lightning flash-extent data","volume":"142","author":"Mansell","year":"2014","journal-title":"Mon. Weather Rev."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4373","DOI":"10.1175\/MWR-D-16-0053.1","article-title":"Assimilation of flash extent data in the variational framework at convection-allowing scales: Proof-of-concept and evaluation for the short term forecast of the 24 May 2011 tornado outbreak","volume":"144","author":"Fierro","year":"2016","journal-title":"Mon. Weather Rev."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Fierro, A.O., Wang, Y., Gao, J., and Mansell, E.R. (2019). Variational assimilation of radar data and GLM lightning-derived water vapor for the short-term forecasts of high-impact convective events. Mon. Weather Rev.","DOI":"10.1175\/MWR-D-18-0421.1"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"288","DOI":"10.3389\/feart.2020.00288","article-title":"An Approach for Assimilating FY4 Lightning and Cloud Top Height Data Using 3DVAR","volume":"8","author":"Liu","year":"2020","journal-title":"Front. Earth Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.atmosres.2014.04.012","article-title":"Application of total-lightning data assimilation in a mesoscale convective system based on the WRF model","volume":"14","author":"Qie","year":"2014","journal-title":"Atmos. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1007\/s13351-021-0092-4","article-title":"Assimilation of radar and cloud-to-ground lightning data using WRF-3DVar combined with the physical initialization method A case study of a mesoscale convective system","volume":"35","author":"Gan","year":"2020","journal-title":"J. Meteor. Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1837","DOI":"10.1175\/1520-0493(1994)122<1837:DCCSIT>2.0.CO;2","article-title":"Deep cumulonimbus cloud systems in the tropics with and without lightning","volume":"122","author":"Zipser","year":"1994","journal-title":"Mon. Weather Rev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"9919","DOI":"10.1029\/92JD00719","article-title":"A simple lightning parameterization for calculating global lightning distributions","volume":"97","author":"Price","year":"1992","journal-title":"J. Geophys. Res. Atmos"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"14025","DOI":"10.1029\/97JD02064","article-title":"On the relationship between cloud-to-ground lightning and convective rainfall","volume":"103","author":"Petersen","year":"1998","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Wang, H., Chen, D., Yin, J., Xu, D., Dai, G., and Chen, L. (2020). An improvement of convective precipitation nowcasting through lightning data dynamic nudging in a cloud-resolving scale forecasting system. Atmos. Res., 104994.","DOI":"10.1016\/j.atmosres.2020.104994"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"e2020JD034300","DOI":"10.1029\/2020JD034300","article-title":"Assimilation of the Maximum Vertical Velocity Converted from Total Lightning Data through the EnSRF Method","volume":"126","author":"Gan","year":"2021","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_34","first-page":"480","article-title":"Improve the forecast of surface-layer wind in wind power farm with WRF-3DVAR","volume":"724\u2013725","author":"Wang","year":"2013","journal-title":"Adv. Mater. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.atmosres.2014.06.017","article-title":"Improving forecasting of strong convection by assimilating cloud-to-ground lightning data using the physical initialization method","volume":"150","author":"Wang","year":"2014","journal-title":"Atmos. Res."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Yang, Y., Wang, Y., and Zhu, K. (2015). Assimilation of Chinese doppler radar and lightning data using WRF-GSI: A Case study of mesoscale convective system. Adv. Meteorol. Meteorol., 1\u201317.","DOI":"10.1155\/2015\/763919"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Chen, Y., Yu, Z., Han, W., He, J., and Chen, M. (2020). Case Study of a Retrieval Method of 3D Proxy Reflectivity from FY-4A Lightning Data and Its Impact on the Assimilation and Forecasting for Severe Rainfall Storms. Remote Sens., 12.","DOI":"10.3390\/rs12071165"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3465","DOI":"10.1175\/MWR-D-16-0117.1","article-title":"Assimilation of pseudo-GLM data using the ensemble Kalman filter","volume":"144","author":"Allen","year":"2016","journal-title":"Mon. Weather Rev."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"12296","DOI":"10.1002\/2017JD027340","article-title":"Improving lightning and precipitation prediction of severe convection using lightning data Assimilation with NCAR WRF-RTFDDA","volume":"122","author":"Wang","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"9652","DOI":"10.1029\/2018JD028494","article-title":"Continuous assimilation of lightning data using time-lagged ensembles for a convection allowing numerical weather prediction model","volume":"123","author":"Wang","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.atmosres.2019.02.001","article-title":"Lightning data assimilation with comprehensively nudging water contents at cloud-resolving scale using WRF model","volume":"221","author":"Chen","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1175\/MWR-D-19-0192.1","article-title":"Assimilation of GOES-R Geostationary Lightning Mapper Flash Extent Density Data in GSI EnKF for the Analysis and Short-Term Forecast of a Mesoscale Convective System","volume":"148","author":"Kong","year":"2020","journal-title":"Mon. Weather Rev."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Lai, A., Gao, J., Koch, S.E., Wang, Y., Pan, S., Fierro, A.O., and Min, J. (2019). Assimilation of Radar Radial Velocity, Reflectivity and Pseudo Water Vapor for Convective-scale NWP in a Variational Framework. Mon. Weather Rev.","DOI":"10.1175\/MWR-D-18-0403.1"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1175\/1520-0426(2004)021<0457:ATVDAM>2.0.CO;2","article-title":"A three-dimensional data analysis method with recursive filter for Doppler radars","volume":"21","author":"Gao","year":"2004","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1175\/JAS-D-11-0162.1","article-title":"Assimilation of reflectivity data in a convective-scale, cycled 3DVAR framework with hydrometeor classification","volume":"69","author":"Gao","year":"2012","journal-title":"J. Atmos. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3326","DOI":"10.1175\/MWR-D-14-00025.1","article-title":"Some observing system simulation experiments with a hybrid 3DEnVAR system for storm-scale radar data assimilation","volume":"142","author":"Gao","year":"2014","journal-title":"Mon. Weather Rev."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yang, Y., and Jin, S.L. (2018). Evaluation of lightning forecasting based on one lightning parameterization scheme and two diagnostic methods. Atmosphere, 9.","DOI":"10.3390\/atmos9030099"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"105590","DOI":"10.1016\/j.atmosres.2021.105590","article-title":"Impacts of the radar data assimilation frequency and large-scale constraint on the short-term precipitation forecast of a severe convection case","volume":"257","author":"Lin","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Xie, Q., Yang, Y., Qiu, X.B., Ma, Y.Y., Lai, A.W., Lin, E.L., and Mai, X.P. (2021). 3D-Var Assimilation of GTS observation with the gravity wave drag scheme improves summer high resolution climate simulation over the Tibetan Plateau. Clim. Dyn., 1\u201319.","DOI":"10.1007\/s00382-021-05720-0"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"5095","DOI":"10.1175\/2008MWR2387.1","article-title":"Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization","volume":"136","author":"Thompson","year":"2008","journal-title":"Mon. Weather Rev."},{"key":"ref_51","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_52","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_53","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1002\/qj.665","article-title":"A new stable boundary-layer mixing scheme and its impact on the simulated East Asian summer monsoon","volume":"136","author":"Hong","year":"2010","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"8851","DOI":"10.1029\/2002JD003296","article-title":"Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model","volume":"108","author":"Ek","year":"2003","journal-title":"J. Geophys. Res."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1175\/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2","article-title":"The Kain\u2013Fritsch convective parameterization: An update","volume":"43","author":"Kain","year":"2004","journal-title":"J. Appl. Meteorol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1002\/joc.4341","article-title":"Validation and comparison of a new gauge-based precipitation analysis over mainland China","volume":"36","author":"Shen","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Shen, Y., Xiong, A., Wang, Y., and Xie, P. (2010). Performance of high-resolution satellite precipitation products over China. J. Geophys. Res. Atmos., 115.","DOI":"10.1029\/2009JD012097"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Guo, D., Wang, H., Zhang, X., and Liu, G. (2019). Evaluation and analysis of grid precipitation fusion products in Jinsha river basin based on China meteorological assimilation datasets for the SWAT model. Water, 11.","DOI":"10.3390\/w11020253"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"181","DOI":"10.2151\/jmsj1965.75.1B_181","article-title":"Unified notation for data assimilation: Operational, sequential and variational","volume":"75","author":"Ide","year":"1997","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_60","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 center\u2019s spectral statistical-interpolation analysis system","volume":"120","author":"Parrish","year":"1992","journal-title":"Mon. Weather Rev."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1175\/2008WAF2222159.1","article-title":"Visualizing multiple measures of forecast quality","volume":"24","author":"Roebber","year":"2009","journal-title":"Weather Forecast"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3584\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:59:10Z","timestamp":1760165950000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3584"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,9]]},"references-count":61,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2021,9]]}},"alternative-id":["rs13183584"],"URL":"https:\/\/doi.org\/10.3390\/rs13183584","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,9,9]]}}}