{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T17:47:41Z","timestamp":1781200061159,"version":"3.54.1"},"reference-count":59,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2020,4,14]],"date-time":"2020-04-14T00:00:00Z","timestamp":1586822400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNM11AA01A"],"award-info":[{"award-number":["NNM11AA01A"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CYGNSS) mission was launched in December 2016. CYGNSS provides ocean surface wind speed retrieval along specular reflection tracks at an interval resolution of approximately 25 km. With a median revisit time of 2.8 h covering a \u00b135\u00b0 latitude, CYGNSS can provide more frequent and accurate measurements of surface wind over the tropical oceans under heavy precipitation, especially within tropical cyclone cores and deep convection regions, than traditional scatterometers. In this study, CYGNSS v2.1 Level 2 wind speed data were assimilated into the Weather Research and Forecasting (WRF) model using the WRF Data Assimilation (WRFDA) system with hybrid 3- and 4-dimensional variational ensemble technology. Case studies were conducted to examine the impact of the CYGNSS data on forecasts of tropical cyclone (TC) Irving and a westerly wind burst (WWB) during the Madden\u2013Julian oscillation (MJO) event over the Indian Ocean in early January 2018. The results indicate a positive impact of the CYGNSS data on the wind field. However, the impact from the CYGNSS data decreases rapidly within 4 h after data assimilation. Also, the influence of CYGNSS data only on precipitation forecast is found to be limited. The assimilation of CYGNSS data was further explored with an additional experiment in which CYGNSS data was combined with Global Precipitation Mission (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) hourly precipitation and Advanced Scatterometer (ASCAT) wind vector and were assimilated into the WRF model. A significant positive impact was found on the tropical cyclone intensity and track forecasts. The short-term forecast of wind and precipitation fields were also improved for both TC Irving and the WWB event when the combined satellite data was assimilated.<\/jats:p>","DOI":"10.3390\/rs12081243","type":"journal-article","created":{"date-parts":[[2020,4,14]],"date-time":"2020-04-14T03:10:01Z","timestamp":1586833801000},"page":"1243","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Study on Assimilation of CYGNSS Wind Speed Data for Tropical Convection during 2018 January MJO"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8530-6321","authenticated-orcid":false,"given":"Xuanli","family":"Li","sequence":"first","affiliation":[{"name":"University of Alabama in Huntsville, Huntsville, AL 35805, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John R.","family":"Mecikalski","sequence":"additional","affiliation":[{"name":"University of Alabama in Huntsville, Huntsville, AL 35805, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1576-572X","authenticated-orcid":false,"given":"Timothy J.","family":"Lang","sequence":"additional","affiliation":[{"name":"NASA Marshall Space Flight Center, Huntsville, AL 35812, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,14]]},"reference":[{"key":"ref_1","unstructured":"Cangialosi, J., and Franklin, J. (2020, April 12). 2016 Hurricane Season. National Hurricane Center Forecast Verification Report, Available online: https:\/\/www.nhc.noaa.gov\/verification\/pdfs\/Verification_2016.pdf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.1175\/BAMS-D-16-0133.1","article-title":"WGNE intercomparison of tropical cyclone forecasts by operational NWP models: A quarter century and beyond","volume":"98","author":"Yamaguchi","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1175\/MWR-D-16-0257.1","article-title":"Adaptive observation error inflation for assimilating all-sky satellite radiance","volume":"145","author":"Minamide","year":"2017","journal-title":"Mon. Weather Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"247","DOI":"10.2151\/sola.2016-049","article-title":"Errors in tropical cyclone intensity forecast by RSMC Tokyo and statistical correction using environmental parameters","volume":"12","author":"Ito","year":"2016","journal-title":"SOLA"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1175\/2009MWR3040.1","article-title":"Satellite microwave surface observations in tropical cyclones","volume":"138","author":"Quilfen","year":"2010","journal-title":"Mon. Weather Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1175\/JTECH-D-16-0047.1","article-title":"Relating wind and stress under tropical cyclones with scatterometer","volume":"33","author":"Liu","year":"2016","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1175\/BAMS-D-14-00218.1","article-title":"New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection","volume":"97","author":"Ruf","year":"2016","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_8","unstructured":"Ruf, C., Chang, P., Clarizia, M., Gleason, S., Jelenak, Z., Murray, J., Morris, M., Musko, S., Posselt, D., and Provost, D. (2016). CYGNSS Handbook, The University of Michigan."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rose, R., Dickinson, J., and Ridley, A. (2012, January 3\u201310). CubeSats to NanoSats; Bridging the gap between educational tools and science workhorses. Proceedings of the 2012 IEEE Aerospace Conference, Big Sky, MT, USA.","DOI":"10.1109\/AERO.2012.6187417"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Ruf, C., Gleason, S., Jelenak, Z., Katzberg, S., Ridley, A., Rose, R., Scherrer, J., and Zavorotny, V. (2012, January 22\u201327). The CYGNSS nanosatellite constellation hurricane mission. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6351600"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1175\/1520-0469(1971)028<0702:DOADOI>2.0.CO;2","article-title":"Detection of a 40\u201350 day oscillation in the zonal wind in the tropical Pacific","volume":"28","author":"Madden","year":"1971","journal-title":"J. Atmos. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1175\/1520-0469(1972)029<1109:DOGSCC>2.0.CO;2","article-title":"Description of global-scale circulation cells in the Tropics with a 40\u201350 day period","volume":"29","author":"Madden","year":"1972","journal-title":"J. Atmos. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1109\/JSTARS.2018.2848267","article-title":"Using \u201cRapid Revisit\u201d CYGNSS Wind Speed Measurements to Detect Convective Activity","volume":"12","author":"Park","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2984","DOI":"10.1029\/2019GL082236","article-title":"A preliminary impact study of CYGNSS ocean surface wind speeds on numerical simulations of hurricanes","volume":"46","author":"Cui","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_15","unstructured":"Brown, D. (2020, April 12). Tropical Cyclone Intensity Forecasting: Still a Challenging Proposition, Available online: https:\/\/www.nhc.noaa.gov\/outreach\/presentations\/NHC2017_IntensityChallenges.pdf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1175\/WAF-D-13-00125.1","article-title":"An examination of wind decay, sustained wind speed forecasts, and gust factors for recent tropical cyclones in the mid-Atlantic region of the United States","volume":"30","author":"Tyner","year":"2015","journal-title":"Weather Forecast."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1175\/WAF-D-14-00098.1","article-title":"The 2012 triply nested, high-resolution operational version of the Hurricane Weather Research and Forecasting Model (HWRF): Track and intensity forecast verifications","volume":"30","author":"Goldenberg","year":"2015","journal-title":"Weather Forecast."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1175\/1520-0477(1999)080<0421:IOHTAI>2.0.CO;2","article-title":"Impact on hurricane track and intensity forecasts of GPS dropwindsonde observations from the first-season flights of the NOAA Gulfstream-IV jet aircraft","volume":"80","author":"Aberson","year":"1999","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2689","DOI":"10.1175\/2011MWR3634.1","article-title":"The impact of dropwindsonde data from the THORPEX Pacific Area Regional Campaign and the NOAA hurricane field program on tropical cyclone forecasts in the Global Forecast System","volume":"139","author":"Aberson","year":"2011","journal-title":"Mon. Weather Rev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1175\/2010MWR3582.1","article-title":"The impact of dropwindsonde observations on typhoon track forecasts in DOTSTAR and T-PARC","volume":"139","author":"Chou","year":"2011","journal-title":"Mon. Weather Rev."},{"key":"ref_21","first-page":"787","article-title":"Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR): An overview","volume":"86","author":"Wu","year":"2005","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"345","DOI":"10.2151\/jmsj.2016-018","article-title":"Advances in convection-permitting tropical cyclone analysis and prediction through EnKF assimilation of reconnaissance aircraft observations","volume":"94","author":"Weng","year":"2016","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2297","DOI":"10.1175\/MWR-D-17-0304.1","article-title":"Composite impact of Global Hawk unmanned aircraft dropwindsondes on tropical cyclone analyses and forecasts","volume":"146","author":"Christophersen","year":"2018","journal-title":"Mon. Weather Rev."},{"key":"ref_24","unstructured":"Bormann, N., Salonen, K., Peubey, C., McNally, T., and Lupu, C. (2012, January 20\u201324). An overview of the status of the operational assimilation of AMVs at ECMWF. Proceedings of the 11th International Winds Workshop, Auckland, New Zealand. Available online: https:\/\/www.eumetsat.int\/website\/home\/News\/ConferencesandEvents\/DAT_2039311.html."},{"key":"ref_25","unstructured":"Cotton, J., and Forsythe, M. (2012, January 20\u201324). AMVs at the Met Office: Activities to improve their impact in NWP. Proceedings of the 11th International Winds Workshop, Auckland, New Zealand. Available online: https:\/\/www.eumetsat.int\/website\/home\/News\/ConferencesandEvents\/DAT_2039311.html."},{"key":"ref_26","unstructured":"Lee, E., Kim, Y., Sohn, E., Cotton, J., and Saunders, R. (2012, January 20\u201324). Application of hourly COMS AMVs in KMA operation. Proceedings of the 11th International Winds Workshop, Auckland, New Zealand. Available online: https:\/\/www.eumetsat.int\/website\/home\/News\/ConferencesandEvents\/DAT_2039311.html."},{"key":"ref_27","unstructured":"Su, X., Daniels, J., Derber, J., Lin, Y., Bailey, A., Bresky, W., and Qi, H. (2014, January 16\u201320). Assimilation of GOES hourly AMVs in NCEP global data assimilation and forecast system. Proceedings of the 12th International Winds Workshop, Copenhagen, Denmark. Available online: https:\/\/www.eumetsat.int\/website\/home\/News\/ConferencesandEvents\/DAT_2441511.html?lang=EN."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1175\/MWR3283.1","article-title":"The impact of assimilating SSM\/I and QuikSCAT satellite winds on Hurricane Isidore simulation","volume":"135","author":"Chen","year":"2007","journal-title":"Mon. Weather Rev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1175\/2007WAF2007014.1","article-title":"The impact of variational assimilation of SSM\/I and QuikSCAT satellite observations on the numerical simulation of Indian Ocean tropical cyclones","volume":"23","author":"Singh","year":"2008","journal-title":"Weather Forecast."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1175\/2007WAF2007006.1","article-title":"Impact of aircraft dropsonde and satellite wind data on the numerical simulation of two landfalling tropical storms during TCSP","volume":"23","author":"Pu","year":"2008","journal-title":"Weather Forecast."},{"key":"ref_31","first-page":"627","article-title":"Impact of OScat surface wind data on T574L64 assimilation and forecasting system\u2014A study involving tropical cyclone Thane","volume":"104","author":"Prasad","year":"2013","journal-title":"Curr. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1175\/MWR-D-13-00063.1","article-title":"Toward producing the Chukchi\u2013Beaufort High-Resolution Atmospheric Reanalysis (CBHAR) via the WRFDA data assimilation system","volume":"142","author":"Liu","year":"2014","journal-title":"Mon. Weather Rev."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3956","DOI":"10.1175\/MWR-D-14-00158.1","article-title":"Assimilation of tropical cyclone observations: Improving the assimilation of TCVitals, scatterometer winds, and dropwindsonde observations","volume":"143","author":"Holt","year":"2015","journal-title":"Mon. Weather Rev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1175\/MWR-D-15-0084.1","article-title":"Impact of scatterometer surface wind data in the ECMWF coupled assimilation system","volume":"144","author":"Laloyaux","year":"2016","journal-title":"Mon. Weather Rev."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"7","DOI":"10.4031\/MTSJ.51.1.1","article-title":"Impact of CYGNSS data on hurricane analyses and forecasts in a regional OSSE framework","volume":"51","author":"McNoldy","year":"2017","journal-title":"Mar. Technol. Soc. J."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1175\/JTECH-D-16-0144.1","article-title":"Impact of CYGNSS ocean surface wind speeds on numerical simulations of a hurricane in observing system simulation experiments","volume":"34","author":"Zhang","year":"2017","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2221","DOI":"10.1175\/MWR-D-17-0240.1","article-title":"A study of the HWRF analysis and forecast impact of realistically simulated CYGNSS observations assimilated as scalar wind speeds and as VAM wind vectors","volume":"146","author":"Annane","year":"2018","journal-title":"Mon. Weather Rev."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1571","DOI":"10.1175\/JTECH-D-17-0136.1","article-title":"Variational analysis of simulated ocean surface winds from the Cyclone Global Navigation Satellite System (CYGNSS) and evaluation using a regional OSSE","volume":"35","author":"Leidner","year":"2018","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.1175\/JAS-D-17-0245.1","article-title":"Potentials in Improving Predictability of Multiscale Tropical Weather Systems Evaluated through Ensemble Assimilation of Simulated Satellite-Based Observations","volume":"75","author":"Ying","year":"2018","journal-title":"J. Atmos. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2009","DOI":"10.1175\/BAMS-D-18-0337.1","article-title":"In-orbit performance of the constellation of CYGNSS hurricane satellites","volume":"100","author":"Ruf","year":"2019","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Ruf, C.S., Gleason, S., and McKague, D.S. (2018). Assessment of CYGNSS wind speed retrieval uncertainty. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 1\u201311.","DOI":"10.1109\/JSTARS.2018.2825948"},{"key":"ref_42","unstructured":"Huffman, G.J., Bolvin, D.T., and Nelkin, E.J. (2020, April 12). Integrated Multi-satellitE Retrievals for GPM (IMERG) Technical Documentation, Available online: http:\/\/pmm.nasa.gov\/sites\/default\/files\/document_files\/IMERG_doc.pdf."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhang, C. (2005). Madden-Julian oscillation. Rev. Geophys., 43.","DOI":"10.1029\/2004RG000158"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1917","DOI":"10.1175\/1520-0493(2004)132<1917:AARMMI>2.0.CO;2","article-title":"An all-season real-time multivariate MJO index: Development of an index for monitoring and prediction","volume":"132","author":"Wheeler","year":"2004","journal-title":"Mon. Weather Rev."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"e869","DOI":"10.1002\/asl.869","article-title":"Connections between the Madden\u2013Julian oscillation and surface temperatures in winter 2018 over eastern North America","volume":"20","author":"Barrett","year":"2019","journal-title":"Atmos. Sci. Lett."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Hoover, K.E., Mecikalski, J., Lang, T., Li, X., Castillo, T., and Chronis, T. (2018). Use of an End-to-End-Simulator to analyze CYGNSS. J. Atmos. Oceanic. Technol.","DOI":"10.1175\/JTECH-D-17-0036.1"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1175\/JAMC-D-16-0375.1","article-title":"Determining tropical cyclone surface wind speed structure and intensity with the CYGNSS satellite constellation","volume":"56","author":"Morris","year":"2017","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1175\/JAMC-D-19-0054.1","article-title":"Tropical cyclone center fix using CYGNSS winds","volume":"58","author":"Mayers","year":"2019","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/JSTARS.2018.2833075","article-title":"Development of the CYGNSS geophysical model function for wind speed","volume":"12","author":"Ruf","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_50","unstructured":"Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D., Duda, M.G., Huang, X.Y., Wang, W., and Powers, J.G. (2008). A Description of the Advanced Research WRF Version 3, University Corporation for Atmospheric Research. NCAR Tech. Note, NCAR\/TN-4751STR."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1175\/1520-0493(2004)132<0897:ATVDAS>2.0.CO;2","article-title":"A three-dimensional (3DVAR) data assimilation system for use with MM5: Implementation and initial results","volume":"132","author":"Barker","year":"2004","journal-title":"Mon. Weather Rev."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"16663","DOI":"10.1029\/97JD00237","article-title":"Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the longwave","volume":"102","author":"Mlawer","year":"1997","journal-title":"J. Geophys. Res."},{"key":"ref_53","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_54","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1175\/1520-0493(1994)122<0927:TSMECM>2.0.CO;2","article-title":"The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer and turbulence closure schemes","volume":"122","author":"Janjic","year":"1994","journal-title":"Mon. Weather Rev."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1175\/2008MWR2556.1","article-title":"Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one- and two-moment schemes","volume":"137","author":"Morrison","year":"2009","journal-title":"Mon. Weather Rev."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1175\/1520-0493(2001)129<0569:CAALSH>2.0.CO;2","article-title":"Coupling an advanced land-surface\/ hydrology model with the Penn State\/ NCAR MM5 modeling system. Part I: Model description and implementation","volume":"129","author":"Chen","year":"2001","journal-title":"Mon. Weather Rev."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"19936","DOI":"10.3402\/tellusa.v65i0.19936","article-title":"Assimilation of wind speed and direction observations: A new formulation and results from idealised experiments","volume":"65","author":"Huang","year":"2013","journal-title":"Tellus A"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"5116","DOI":"10.1175\/2008MWR2444.1","article-title":"A hybrid ETKF\u20133DVAR data assimilation scheme for the WRF Model. Part I: Observing system simulation experiment","volume":"136","author":"Wang","year":"2008","journal-title":"Mon. Weather Rev."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1175\/JAM2248.1","article-title":"Assimilation of Doppler Radar Observations with a Regional 3DVAR System: Impact of Doppler Velocities on Forecasts of a Heavy Rainfall Case","volume":"44","author":"Xiao","year":"2005","journal-title":"J. Appl. Meteorol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/8\/1243\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:21:07Z","timestamp":1760361667000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/8\/1243"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,14]]},"references-count":59,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2020,4]]}},"alternative-id":["rs12081243"],"URL":"https:\/\/doi.org\/10.3390\/rs12081243","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,14]]}}}