Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 5, pp. 219-231

Interrelation of turbulent heat and moisture exchange and NDVI in different landscape zones of the plains of Russia in the summer period

T.B. Titkova 1 , A.N. Zolotokrylin 1 , M.A. Tarasova 1, 2 
1 Institute of Geography RAS, Moscow, Russia
2 Lomonosov Moscow State University, Moscow, Russia
Accepted: 07.10.2024
DOI: 10.21046/2070-7401-2024-21-5-219-231
A detailed assessment of the interrelation between turbulent heat and moisture exchange and the NDVI vegetation index during the summer months of the 21st century on the plain landscapes of the European territory of Russia (ETR) and Western Siberia (WS) has been conducted. The research made it possible to generalize the patterns of relationships between heat and moisture exchange and phytomass depending on the type of landscape and region. The analysis was based on the reanalysis of European Centre for Medium-Range Forecasts (ERA5-Land) and satellite data from MODIS NDVI using the method of linear pair correlation, as well as trend assessment of both parameters and their relationship for each month of the summer season. It was found that the relationship between heat and moisture exchange and phytomass is at a medium level and does not exceed 0.7 in all landscape zones, while changing significantly during the summer season. Calculations showed that the coupling of turbulent heat and moisture exchange and phytomass is especially noticeable in sparsely vegetated areas in subarctic and subboreal landscapes. The connection between sensible heat fluxes and phytomass during the summer period in subarctic and boreal landscapes is maximally positive in June, and then weakens. In subboreal landscapes, high sensible heat fluxes are associated with a decrease in phytomass, where negative relationships strengthen during the summer season, most notably in ETR. It was found that the relationship between latent heat fluxes and the vegetation index is stronger than with sensible heat fluxes. Turbulent latent heat fluxes and phytomass are positively related in all landscapes, with a maximum in the subboreal zone, regardless of the region. These relationships are maximal in June in the subarctic zone, in July in the boreal zone and in both July and August in subboreal landscapes. It was shown that since the beginning of the 21st century, in the subarctic zone even a slight increase in heat and moisture exchange at the beginning of the summer season has been accompanied by an increase in phytomass. In subboreal landscapes, positive trends of sensible heat fluxes are accompanied by a decrease in latent heat fluxes and phytomass. The change in the relationship between heat and moisture exchange with phytomass since the beginning of the 21st century is most noticeable in ETR and less so in WS. The coupling of heat exchange with phytomass increases in June and August and changes little in July. The relationship between latent heat fluxes and phytomass also increases in June and August in the subarctic and boreal zones of ETR, while in subboreal landscapes these relationships weaken throughout the summer season against the background of a decrease in the vegetation index.
Keywords: sensible heat, latent heat, vegetation index, landscapes, heat and moisture exchange, European Russia, Western Siberia
Full text

References:

  1. Gusev E. M., Nasonova O. N., Modelirovanie teplo- i vlagoobmena poverkhnosti sushi s atmosferoi (Modeling of heat and moisture exchange between the land surface and the atmosphere), Kuchment L. S. (ed.), Moscow: Nauka, 2010, 327 p. (in Russian).
  2. Landscape map (M 1:15 000 000), Natsional’nyi atlas Rossii. T. 2. Priroda. Ekologiya (National atlas of Russia. Vol. 2. Nature. Ecology), Moscow: Kartografiya, 2007, pp. 398–399, https://nationalatlas.ru/tom2/398-399.html (in Russian).
  3. Oke T. R., Boundary Layer Climates Paperback, London: Methuen Publ., 1978. 372 p.
  4. Pugacheva A. M., Climatic fluctuations of dry steppes and their role in the demutation process, Arid ecosystems, 2020, No. 3(84), pp. 181–187 (in Russian), DOI: 10.1134/S2079096120030063.
  5. Rusin N. P., Flit L. A., Solntse na zemle (The Sun on Earth), Moscow: Soviet Russia, 1971, 204 p. (in Russian).
  6. Stepanenko V. M., Repina I. A., Fedosov V. E. et al., An overview of parameterezations of heat transfer over moss-covered surfaces in the earth system models, Izvestiya, Atmospheric and Oceanic Physics, 2020, Vol. 56, No. 2, pp. 101–111, DOI: 10.1134/S0001433820020139.
  7. Teplovodoobmen v merzlotnykh landshaftakh Vostochnoi Sibiri i ego faktory (Heat and water exchange in the permafrost landscapes of Eastern Siberia and its factors), Georgeadi A. G., Zolotokrylin A. N. (eds.), Moscow, 2007, 275 p. (in Russian).
  8. Titkova T. B., Vinogradova V. V., Climate changes in transitional natural areas of Russian northern regions and their display in landscape spectral characteristics, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 5, pp. 310–323 (in Russian), DOI: 10.21046/2070-7401-2019-16-5-310-323.
  9. Titkova T. B., Zolotokrylin A. N., Summer climate change in the south of European Russia, Fundamental and applied climatology, 2022, Vol. 8, No. 1, pp. 107–121, (in Russian), DOI: 10.21513/2410-8758-2022-1-107-121.
  10. Titkova T. B., Zolotokrylin A. N., Vinogradova V. V., The spectral portrait of plain landscapes in Russia, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 3, pp. 117–126 (in Russian), DOI: 10.21046/2070-7401-2020-17-3-117-126.
  11. Tishkov A. A., Belonovskaya E. A., Weisfel’d M. A. et al., Regional biogeographical effects of “fast” climate changes in the Russian Arctic in the 21st century, Arctic: Ecology and Economics, 2020, No. 2(38), pp. 31–44 (in Russian), DOI: 10.25283/2223-4594-2020-2-31-44.
  12. Tretii otsenochnyi doklad ob izmeneniyakh klimata i ikh posledstviyakh na territorii Rossiiskoi Federatsii (Third assessment report on climate change and its consequences on the territory of the Russian Federation), Roshydromet, Saint Petersburg: Naukoemkie tekhnologii, 2022, 676 p. (in Russian), https://www.meteorf.gov.ru/upload/pdf_download/compressed.pdf.
  13. IPCC, 2022: Climate Change 2022: Impacts, Adaptation and Vulnerability, In: 6 th Assessment Report of the Intergovernmental Panel on Climate Change, H.-O. Pörtner, D. C. Roberts, M. Tignor et al. (eds.), Cambridge, UK: Cambridge University Press. 2022. 3056 p., https://www.ipcc.ch/report/ar6/wg2/, DOI: 10.1017/9781009325844.
  14. IPCC, 2023: Climate Change 2023: Impacts, Adaptation and Vulnerability In: 6 th Assessment Report of the Intergovernmental Panel on Climate Change, H. Lee, J. Romero et al. (eds.), Geneva, Switzerland, 2023, 184 p., DOI: 10.59327/IPCC/AR6-9789291691647.
  15. Kodama Y., Ishii Y., Nomura M., Sato N., Yabuki H., Ohata T., Seasonal energy exchange over tundra region near Tiksi, Eastern Siberia, Activity Report. GAME-Siberia, 2000, pp. 13–14.
  16. Muñoz-Sabater J., Dutra E., Agusti-Panareda A. et al., ERA5-Land: A state-of-the-art global reanalysis dataset for land applications, Earth System Science, 2021. No. 13(9), pp. 4349–4383, DOI: 10.5194/essd-13-4349-2021.
  17. The surface energy balance, In: IFS Documentation — Cy41r2: Operational implementation 8 March 2016. Part IV: Physical processes, European Centre for Medium-Range Weather Forecasts, 2016, 214 p., pp. 48–50, https://www.ecmwf.int/sites/default/files/elibrary/2021/81271-ifs-documentation-cy47r3-part-iv-physical-processes_1.pdf.
  18. Schwaab J., Meier R., Mussetti G. et al., The role of urban trees in reducing land surface temperatures in European cities, Nature Communications volume, 2021, Vol. 12, Article 6763, DOI: 10.1038/s41467-021-26768-w.
  19. Wang X., Wu C., Peng D. et al., Snow cover phenology affects alpine vegetation growth dynamics on the Tibetan Plateau: Satellite observed evidence, impacts of different biomes, and climate drivers, Agricultural and Forest Meteorology, 2018, No. 256–257, pp. 61–74, https://doi.org/10.1016/j.agrformet.2018.03.004.
  20. Wild M., Decadal changes in radiative fluxes at land and ocean surfaces and their relevance for global warming, WIREs Climate Change, 2016, Vol. 7. No. 1, pp. 91–107, DOI: 10.1002/wcc.372. DOI: 10.1002/wcc.372.
  21. Wu M., Schurgers G., Rummukainen M. et al., Vegetation–climate feedbacks modulate rainfall patterns in Africa under future climate change, Earth System Dynamics, 2016, Vol. 7, Issue 3, pp. 627–647, DOI: https://doi.org/10.5194/esd-7-627-2016.