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Unriddle the complex associations among urban green cover, built-up index, and surface temperature using geospatial approach: a micro-level study of Kolkata Municipal Corporation for sustainable city

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Abstract

The research article delves into the background of urban land use and land cover (LULC) change, specifically focusing on built-up expansion, and underscores its significant implications on land surface temperature (LST) and the urban heat island (UHI) phenomenon. This research aims to unravel the intricate associations among urban green cover, built-up index, and surface temperature, specifically within the spatial confines of the Kolkata Municipal Corporation. The primary objective is to comprehensively understand how the conversion of green spaces into built-up areas influences land surface temperature and, consequently, the urban heat island effect. Employing a geospatial approach, the study utilizes normalized differential vegetation index (NDVI), normalized differential built-up index (NDBI), and land surface temperature (LST) data extracted from Landsat imagery spanning four temporal points (1990, 2000, 2010, and 2020). The borough-level analysis offers a micro-level perspective within the limited urban space of Kolkata Municipal Corporation. Correlation analyses and scatter diagrams are employed as tools to scrutinize the complex relationships between these variables, providing a robust methodology for the investigation. The research underscores the significant impact of urbanization on the study area, revealing a consistent trend of converting green spaces into built-up areas over the studied decades. This transformation has led to a reduction in green coverage and a concurrent increase in surface temperatures. The study reveals compelling correlations and patterns through NDVI, NDBI, and LST analyses, emphasizing the urgency for serious attention from urban planners, environmentalists, and ecologists. The findings highlight the pressing need for the development of appropriate policy frameworks to ensure the future sustainability and health of cities.

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All the data generated and analyzed during this study are available on request from the corresponding author.

Data used in this research has not been used earlier elsewhere.

References

  • Ajmal U, Jamal S, Ahmad WS, Ali MA, Ali MB (2022) Waterborne diseases vulnerability analysis using fuzzy analytic hierarchy process: a case study of Azamgarh city India. Model Earth Syst Environ 8(2):2687–2713

    Article  Google Scholar 

  • Alavipanah S, Wegmann M, Qureshi S, Weng Q, Koellner T (2015) The role of vegetation in mitigating urban land surface temperatures: a case study of Munich Germany during the Warm Season. Sustainability 7(4):4689–4706

    Article  Google Scholar 

  • Asgarian A, Amiri BJ, Sakieh Y (2015) Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach. Urban Ecosystem 18(1):209–222. https://doi.org/10.1007/s11252-014-0387-7

    Article  Google Scholar 

  • Badarinath KVS, Kiran Chand TR, Madhavilatha K, Raghavaswamy V (2005) Studies on urban heat islands using envisat AATSR data. J Indian Soc Remote Sens 33(4):495–501

    Article  Google Scholar 

  • Becker F, Li Z-L (1990) Toward a local split-window method over land surface. Int J Remote Sens 11(3):369–393. https://doi.org/10.1080/01431169008955028

    Article  Google Scholar 

  • Bindi M, Brandani G, Dessì A, Dibari C, Ferrise R, Moriondo M, Trombi G (2009) Impact of climate change on agricultural and natural ecosystems. Am J Environ Sci 5(5):633–638

    Google Scholar 

  • Buyadi S, Mohd W, Misni A (2013) Impact of land use changes on the surface temperature distribution of area surrounding the National Botanic Garden, Shah Alam. Procedia Soc Behav Sci 101:516–525

    Article  Google Scholar 

  • Carrus G, Scopelliti M, Lafortezza R, Colangelo G et al (2015) Go greener, feel better? The positive efects of biodiversity on the well-being of individuals visiting urban and peri-urban green areas. Landsc Urban Plan 134:221–228. https://doi.org/10.1016/j.landurbplan.2014.10.022

    Article  Google Scholar 

  • Chadchan J, Shankar R (2012) An analysis of urban growth trends in the post-economic reforms period in India. Int J Sustain Built Environ 1(1):36–49

    Article  Google Scholar 

  • Chen YH, Wang J, Li XB (2002) A study on urban thermal field in summer based on satellite remote sensing. Remote Sens Land Resour 4(1)

  • Chen XL, Zhao HM, Li PX, Yin ZY (2006) Remote sensing imagebased analysis of the relationship between urban heat island and land use/cover changes. Remote Sens Environ 104(2):133–146

    Article  Google Scholar 

  • Chudnovsky A, Ben-Dor E, Saaroni H (2004) Diurnal thermal behavior of selected urban objects using remote sensing measurements. Energy Build 36:1063–1074. https://doi.org/10.1016/j.enbuild.2004.01.052

    Article  Google Scholar 

  • Demographia world urban areas 13th annual edition. (2017). doi: https://demographia.com/dbworldua-index.htm

  • Deng C, Wu C (2012) BCI: a biophysical composition index for remote sensing of urban environments. Remote Sens Environ 127:247–259. https://doi.org/10.1016/j.rse.2012.09.009

    Article  Google Scholar 

  • Escobedo FJ, Kroeger T, Wagner JE (2011) Urban forests and pollution mitigation: analyzing ecosystem services and disservices. Environ Pollut 159(8–9):2078–2087. https://doi.org/10.1016/j.envpol.2011.01.010

    Article  CAS  Google Scholar 

  • Feng H, Liu H, Wu L (2014) Monitoring the relationship between the land surface temperature change and urban growth in Beijing China. IEEE J Sel Top Appl Earth Obs Remote Sens 7(10):4010–4019

    Article  Google Scholar 

  • Gairola S, Noresah MS (2010) Emerging trend of urban green space research and the implications for safeguarding biodiversity: a viewpoint. Nat Sci 8(7):43–49

    Google Scholar 

  • Gao B-C (1996) NDWI—a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens Environ 58(3):257–266

    Article  Google Scholar 

  • García DH, Riza M, Díaz JA (2023) Land surface temperature relationship with the land use/land cover indices leading to thermal field variation in the Turkish Republic of Northern Cyprus. Earth Syst Environ 7(2):561–580

    Article  Google Scholar 

  • Guo G, Wu Z, Xiao R, Chen Y (2015) Landscape and urban planning impacts of urban biophysical composition on land surface temperature in urban heat island clusters. Landsc Urban Plan 135:1–10. https://doi.org/10.1016/j.landurbplan.2014.11.007

    Article  Google Scholar 

  • Hang HT, Rahman A (2018) Characterization of thermal environment over heterogeneous surface of National Capital Region (NCR), India using LANDSAT-8 sensor for regional planning studies Urban Climate:1–18 https://doi.org/10.1016/j.uclim.2018.01.001

  • Hang HT, Rahman A (2018b) Characterization of thermal environment over heterogeneous surface of National Capital Region (NCR), India using LANDSAT-8 sensor for regional planning studies. Urban Climate 24:1–18. https://doi.org/10.1016/j.uclim.2018.01.001

    Article  Google Scholar 

  • Hao P, Niu Z, Zhan Y, Wu Y, Wang L, Liu Y (2016) Spatiotemporal changes of urban impervious surface area and land surface temperature in Beijing from 1990 to 2014. Gisci Remote Sens 53(1):63–84. https://doi.org/10.1080/15481603.2015.1095471

    Article  Google Scholar 

  • Hartmann DL, Tank AM GK, & Rusticucci M (2013) IPCC 5th assessment report, climate change 2013: the physical science basis. In Paper presented at the IPCC

  • S Jamal MB Ali 2023 Determining urban growth in response to land use dynamics using multilayer perceptron and Markov chain models in a metropolitan city: past and future Environ Dev Sustain 1 27

  • Jamal S, Ahmad WS, Ajmal U, Aaquib M, Ashif Ali M, Babor Ali M, Ahmed S (2022a) An integrated approach for determining the anthropogenic stress responsible for degradation of a Ramsar Site-Wular Lake in Kashmir India. Mar Geodesy 45(4):407–434

    Article  Google Scholar 

  • Jamal S, Ali MB, Ali MA, Ajmal U (2022b) Evaluation and distribution of urban green spaces in Kolkata Municipal Corporation: an approach to urban sustainability. Towards sustainable natural resources: monitoring and managing ecosystem biodiversity. Springer International Publishing, Cham, pp 151–172

    Chapter  Google Scholar 

  • Jamal S, Saqib M, Ahmad WS, Ahmad M, Ali MA, Ali MB (2023) Unraveling the complexities of land transformation and its impact on urban sustainability through land surface temperature analysis. Appl Geomatics 15(3):719–41

    Article  Google Scholar 

  • Jim CY, Chen WY (2008) Assessing the ecosystem service of air pollutant removal by urban trees in Guangzhou (China). J Environ Manage 88(4):665–676

    Article  CAS  Google Scholar 

  • Karuppannan S, Baharuddin ZM, Sivam A, Daniels CB (2014) Urban green space and urban biodiversity: Kuala Lumpur Malaysia. J Sustain Dev 7(1). https://doi.org/10.5539/jsd.v7n1p1

  • Kaufmann RK, Zhou L, Myneni RB, Tucker CJ, Slayback D, Shabanov NV, Pinzon J (2003) The effect of vegetation on surface temperature: a statistical analysis of NDVI and climate data. Geophys Res Lett 30 (22)

  • Konijnendijk CC, Annerstedt M, Nielsen AB & Maruthaveeran S (2013) Benefts of urban parks. A systematic review A Report for IFPRA, Copenhagen & Alnarp. https://www.forskningsdatabasen.dk/ en/catalog/2389131353

  • Kumar KS, Bhaskar PU, Padma Kumari K (2012) Estimation of land surface temperature to study urban heat island effect using Landsat ETM + IMAGE. Int J Eng Sci Technol 4(02):771–778

    Google Scholar 

  • Li CH, Yang ZF (2004) Spatio-temporal changes of NDVI and their relations with precipitation and Run of in the Yellow River Basin. Geogr Res 23:753–759

    Google Scholar 

  • Li X, Chen G, Liu X, Liang X, Wang S, Chen Y, Xu X (2017) A new global land-use and land-cover change product at a 1-km resolution for 2010 to 2100 based on human–environment interactions. Ann Am Assoc Geogr 107(5):1040–1059

    Google Scholar 

  • Lillesand T, Kiefer RW, Chipman J (2015) Remote sensing and image interpretation. John Wiley & Sons

    Google Scholar 

  • Loehle C, Scafetta N (2011) Climate change attribution using empirical decomposition of climatic data. Open Atmos Sci J 5:1–4. https://doi.org/10.2174/1874282301105010074

    Article  Google Scholar 

  • Ma Y, Kuang Y, Huang N (2010) Coupling urbanization analyzes for studying urban thermal environment and its interplay with biophysical parameters based on TM/ETM+imagery. Int J Appl Earth Obs Geoinf 12(2):110–118. https://doi.org/10.1016/j.jag.2009.12.002

    Article  Google Scholar 

  • Mallick J, Kant Y, Bharath BD (2008) Estimation of land surface temperature over Delhi using Landsat-7 ETM. J Ind Geophys Union 12(3):131–140

    Google Scholar 

  • Mallick J, Rahman A, Singh CK (2013) Modeling urban heat islands in heterogeneous land surface and its correlation with impervious surface area by using nighttime ASTER satellite data in highly urbanizing city, Delhi-India. Adv Space Res 52:639–655. https://doi.org/10.1016/j.asr.2013.04.025

    Article  Google Scholar 

  • Mass JF (1999) Monitoring land-cover changes: a comparison of change detection techniques. Int J Remote Sens 20(1):139–152

    Article  Google Scholar 

  • Mathew A, Sreekumar S, Khandelwal S, Kaul N, Kumar R (2016) Prediction of surface temperatures for the assessment of urban heat island efect over Ahmedabad city using linear time series model. Energy Build 128:605–616. https://doi.org/10.1016/j.enbuild.2016.07.004

    Article  Google Scholar 

  • McKinney ML (2002) Urbanization, biodiversity, and conservation. Bioscience 52:883–890

    Article  Google Scholar 

  • Moghadam HS, Helbich M (2013) Spatiotemporal urbanization processes in the megacity of Mumbai, India: a Markov chains-cellular automata urban growth model. Appl Geogr 40:140–149. https://doi.org/10.1016/j.apgeog.2013.01.009

    Article  Google Scholar 

  • Mohammad P, Goswami A (2022) Predicting the impacts of urban development on seasonal urban thermal environment in Guwahati city, northeast India. Build Environ 226:109724

    Article  Google Scholar 

  • Mohan M, Kandya A (2015) Impact of urbanization and land-use/land-cover change on diurnal temperature range: a case study of tropical urban airshed of India using remote sensing data. Sci Total Environ 506:453–465. https://doi.org/10.1016/j.scitotenv.2014.11.006

    Article  CAS  Google Scholar 

  • Morton FI (1983) Operational estimates of areal evapotranspiration and their signifcance to the science and practice of hydrology. J Hydrol 66(1–4):1–76. https://doi.org/10.1016/0022-1694(83)90177-4

    Article  Google Scholar 

  • Mushore T, Mutanga O, Odindi J, Dube T (2017) Linking major shifts in land surface temperatures to long term land use and land cover changes: a case of Harare, Zimbabwe. Urban Climate 20:120–134. https://doi.org/10.1016/j.uclim.2017.04.005

    Article  Google Scholar 

  • Naikoo MW, Islam ARMT, Mallick J, Rahman A (2022) Land use/land cover change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city. Urban Climate 41:101052

    Article  Google Scholar 

  • Nayak S, & Mandal M 2012 Impact of land-use and land-cover changes on temperature trends over western India. Current Science, 102 https://www.jstor.org/stable/24107759

  • Nowak DJ, Robert III E, Crane DE, Stevens JC, & Fisher CL (2010) Assessing urban forest efects and values, Chicago’s urban forest Resour Bull NRS-37 (pp. 1–27). Newtown Square, PA: US Department of Agriculture, Forest Service, Northern Research Station 27

  • Oliveira S, Andrade H, Vaz T (2011) The cooling efect of green spaces as a contribution to the mitigation of urban heat: a case study in Lisbon. Build Environ 46(11):2186–2194. https://doi.org/10.1016/j.buildenv.2011.04.034

    Article  Google Scholar 

  • Oliveira S, Andrade H, Vaz T (2011b) The cooling effect of green spaces as a contribution to the mitigation of urban heat: a case study in Lisbon. Build Environ 46(11):2186–2194

    Article  Google Scholar 

  • Owen LA, Pickering KT, Pickering KT (2006) An introduction to global environmental issues. Routledge

    Book  Google Scholar 

  • Pandey B, Seto KC (2015) Urbanization and agricultural land loss in India: comparing satellite estimates with census data. J Environ Manag 148:53–66

    Article  Google Scholar 

  • Pauleit S, Ennos R, Golding Y (2005) Modeling the environmental impacts of urban land use and land cover change—a study in Merseyside UK. Landsc Urban Plan 71(2–4):295–310

    Article  Google Scholar 

  • Rai PK (2016) Impacts of particulate matter pollution on plants: implications for environmental biomonitoring. Ecotoxicol Environ Saf 129:120–136. https://doi.org/10.1016/j.ecoenvol2016.03.012

    Article  CAS  Google Scholar 

  • Rinner C, Hussain M (2011) Toronto’s urban heat island-exploring the relationship between land use and surface temperature. Remote Sens 3(6):1251–1265. https://doi.org/10.3390/rs3061251

    Article  Google Scholar 

  • Rosenberg NJ, Blad BL, Verma SB (1983) Microclimate: the biological environment. Wiley, Hoboken

    Google Scholar 

  • Rosenzweig C, Solecki W, & Slosberg R 2006 Mitigating New York City’s heat island with urban forestry, living roofs, and light surfaces. A report to the New York State Energy Research and Development Authority

  • Rotem-Mindali O, Michael Y, Helman D, Lensky IM (2015) The role of local land-use on the urban heat island efect of Tel Aviv as assessed from satellite remote sensing. Appl Geogr 56:145–153. https://doi.org/10.1016/j.apgeog.2014.11.023

    Article  Google Scholar 

  • Salman MA (2004) A modelling approach to cumulative efects assessment for rehabilitation of remnant vegetation. PhD Thesis. SRES, The Australian National University, Canberra, Australia

  • Sannigrahi S, Bhatt S, Rahmat S, Uniyal B, Banerjee S, Chakraborti S et al (2018) Analyzing the role of biophysical compositions in minimizing urban land surface temperature and urban heating. Urban Climate 24:803–819. https://doi.org/10.1016/j.uclim.2017.10.002

    Article  Google Scholar 

  • Sarif MO, Gupta RD, Murayama Y (2022) Assessing local climate change by spatiotemporal seasonal LST and six land indices, and their interrelationships with SUHI and hot–spot dynamics: a case study of Prayagraj City, India (1987–2018). Remote Sens 15(1):179

    Article  Google Scholar 

  • Sertel E, Ormeci C, Robock A (2011) Modelling land cover change impact on the summer climate of the Marmara region Turkey. Int J Glob Warm 3(1/2):194

    Article  Google Scholar 

  • Shahfahad Bindajam AA, Naikoo MW, Horo JP, Mallick J, Rihan M, ... & Rahman A (2023) Response of soil moisture and vegetation conditions in seasonal variation of land surface temperature and surface urban heat island intensity in sub-tropical semi-arid cities. Theoretical and Applied Climatology, 1–29

  • Shahfahad Talukdar S, Rihan M, Hang HT, Bhaskaran S & Rahman A (2021) Modelling urban heat island (UHI) and thermal field variation and their relationship with land use indices over Delhi and Mumbai metro cities Environment, Development and Sustainability 1–29

  • Sieghardt M, Mursch-Radlgruber E, Paoletti E, Couenberg E, Dimitrakopoulus A, Rego F et al (2005) The abiotic urban environment: impact of urban growing conditions on urban vegetation. In: Konijnendijk C, Nilsson K, Randrup T, Schipperijn J (eds) Urban forests and trees. Springer, Berlin, pp 281–323

    Chapter  Google Scholar 

  • Su S, Xiao R, Jiang Z, Zhang Y (2012) Characterizing landscape pattern and ecosystem service value changes for urbanization impacts at an eco-regional scale. Appl Geogr 34:295–305

    Article  Google Scholar 

  • The World Resources Institute (1996) The urban environment: world resources 1996–97. Oxford University Press, New York

    Google Scholar 

  • United Nations (2012) World urbanization prospects: the 2011 revision. United Nations, New York

    Book  Google Scholar 

  • United Nations Department of Economic and Social Afairs (UNDESA) (2012) Nations Department of Economic and Social Affairs. World urbanization prospects: the 2011 revision. New York: United Nations Department of Economic and Social Afairs/Population Division

  • Ward DS, Mahowald NM, Kloster S (2014) Potential climate forcing of land use and land cover change. Atmos Chem Phys 14(23):12701–12724

    Article  CAS  Google Scholar 

  • Weng Q (2001) A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in Zhujiang Delta China. Int J Remote Sens 22(10):1999–2014

    Google Scholar 

  • Weng Q, Lu D, Schubring J (2004) Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sens Environ 89(4):467–483

    Article  Google Scholar 

  • Wolch JR, Byrne J, Newell JP (2014a) Urban green space, public health, and environmental justice: the challenge of making cities ‘just green enough.’ Landsc Urban Plan 125:234–244. https://doi.org/10.1016/j.landurbplan.2014.01.017

    Article  Google Scholar 

  • Wu Z, Chen R, Meadows ME, Sengupta D, Xu D (2019) Changing urban green spaces in Shanghai: trends, drivers and policy implications. Land Use Policy 87:104080

    Article  Google Scholar 

  • Wu J, Yang M, Xiong L, Wang C, Ta N (2021) Health-oriented vegetation community design: innovation in urban green space to support respiratory health. Landsc Urban Plan 205:103973

    Article  Google Scholar 

  • Xian G, Crane M, Steinward D (2005) Dynamic modeling of Tampa Bay urban development using parallel computing. Comput Geosci 31(7):920–928. https://doi.org/10.1016/j.cageo.2005.03.006

    Article  Google Scholar 

  • Xiao R, Weng Q, Ouyang Z, Li W, Schienke EW, Zhang Z (2008) Land surface temperature variation and major factors in Beijing China. Photogramm Eng Remote Sens 74(4):451–461. https://doi.org/10.14358/PERS.74.4.451

  • Xu LY, Xie XD, Li S (2013) Correlation analysis of the urban heat island efect and the spatial and temporal distribution of atmospheric particulates using TM images in Beijing. Environ Pollut 178:102–114. https://doi.org/10.1016/j.envpol.2013.03.006

    Article  CAS  Google Scholar 

  • Yogesh K, Bharath BD, Mallick J, Atzberger C, Kerle N (2009) Satellite—based analysis of the role of land use: land cover and vegetation density on surface temperature regime of Delhi, India. J Ind Soc Remote Sens 37(2):201–214. https://doi.org/10.1007/s12524-009-0030-x

    Article  Google Scholar 

  • You G, Zhang Y, Liu Y, Schaefer D, Gong H, Gao J, Lu Z, Song Q, Zhao J, Wu C, Yu L, Xie Y (2013) Investigation of temperature and aridity at different elevations of Mt. Ailao SW China. Int J Biometeorol 57(3):487–492

  • Yuan F, Bauer ME (2007) Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sens Environ 106(3):375–386

    Article  Google Scholar 

  • Yuan F, Sawaya KE, Leofelholz CB, Bauer ME (2005) Land cover classifcation and change analysis of the twin cities (Minnesota) metropolitan area by multi-temporal Landsat remote sensing. Remote Sens Environ 98:317–328. https://doi.org/10.1016/j.rse.2005.08.006

    Article  Google Scholar 

  • Zha Y, Gao J, Ni S (2003) Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int J Remote Sens 24(3):583–594

    Article  Google Scholar 

  • Zhang B, Xie GD, Gao JX, Yang Y (2014) The cooling efect of urban green spaces as a contribution to energy-saving and emission-reduction: a case study in Beijing China. Build Environ. https://doi.org/10.1016/j.buildenv.2014.03.00

    Article  Google Scholar 

  • Zhang F, Xu N, Wang C, Wu F, Chu X (2020) Effects of land use and land cover change on carbon sequestration and adaptive management in Shanghai, China. Phys Chem Earth, Parts a/b/c 120:102948

    Article  Google Scholar 

  • Zhou X, Wang YC (2011) Spatial–temporal dynamics of urban green space in response to rapid urbanization and greening policies. Landsc Urban Plan 100(3):268–277

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank Aligarh Muslim University, India, and the Department of Geography of Aligarh Muslim University for supporting and providing with infrastructural facilities for completing this study.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript. The authors would like to thank UGC for providing SRF fellowship for Ph.D.

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  1. Aligarh Muslim University, Aligarh, Uttar Pradesh, 202001, India

    Md Babor Ali, Saleha Jamal, Manal Ahmad & Mohd Saqib

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Author Contributions: Conceptualization: Md Babor Ali and Saleha Jamal Data monitoring: Md Babor Ali Methodology: Md Babor Ali Data curation: Md Babor Ali Mapping: Md Babor Ali Formal analysis: Md Babor Ali, Saleha Jamal, Manal Ahmad and Mohd Saqib Final Review: Md Babor Ali and Saleha Jamal

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Correspondence to Saleha Jamal.

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Ali, M.B., Jamal, S., Ahmad, M. et al. Unriddle the complex associations among urban green cover, built-up index, and surface temperature using geospatial approach: a micro-level study of Kolkata Municipal Corporation for sustainable city. Theor Appl Climatol 155, 4139–4160 (2024). https://doi.org/10.1007/s00704-024-04873-2

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