Skip to main content
SpringerLink
Log in

Carbon-Water Cycle Modeling

  • Chapter
  • First Online:
Water-Carbon Dynamics in Eastern Siberia

Part of the book series: Ecological Studies ((ECOLSTUD,volume 236))

  • 559 Accesses

Abstract

The Arctic warming observed in recent decades has amplified changes in terrestrial ecohydrological processes. A number of process-based models have been developed to simulate the ecohydrological processes in cold regions under changing climate conditions. These models have simulated prominent changes in ecohydrological processes in regions of eastern Siberia at point and watershed scales, such as degrading permafrost, decreasing snow extent, and increasing river discharge and evapotranspiration induced by warming; model results have been consistent with observations. These modeling results improve our understanding of the responses of ecohydrological processes to the warming climate, in turn contributing to further model improvement and better projection of future changes in hydrologic processes. However, model representations of some cold region hydrological processes remain insufficient and need further improvement. This chapter summarizes changes in key processes and ecohydrology conditions of the Lena watershed based on a synthesis of observations and model simulations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bekryaev RV, Polyakov IV, Alexeev VA (2010) Role of polar amplification in long-term surface air temperature variations and modern Arctic warming. J Clim 23:3888–3906. https://doi.org/10.1175/2010JCLI3297.1

    Article  Google Scholar 

  • Betts AK, Viterbo P, ACM B, van den Hurk BIJM (2001) Impact of BOREAS on the ECMWF forecast model. J Geophys Res 106:33593–33604

    Article  Google Scholar 

  • Buermann W, Anderson B, Tucker CJ, Dickinson RE, Lucht W, Potter CS, Myneni RB (2003) Interannual covariability in Northern Hemisphere air temperature and greenness associated with El Nino-Southern oscillation and the Arctic oscillation. J Geophys Res 108:4396. https://doi.org/10.1029/2002JD002630

    Article  Google Scholar 

  • Bulygina ON, Razuvaev V, Korshunova N (2009) Change in snow cover northern Eurasia in the last decades. Environ Res Lett 4:045026. https://doi.org/10.1088/17489326/14/4/045026

    Article  Google Scholar 

  • Chapin FS, Shaver GR, Giblin AE, Nadelhoffer KG, Laundre JA (1995) Response of arctic tundra to experimental and observed changes in climate. Ecology 76:694–711

    Article  Google Scholar 

  • Cohen J, Furtado J, Barlow M, Alexeev V, Cherry J (2012) Arctic warming, increasing snow cover and widespread boreal winter cooling. Environ Res Lett 7:014007. https://doi.org/10.1088/1748-9326/1/1/014007

    Article  CAS  Google Scholar 

  • Cox PM, Huntingford C, Harding RJ (1998) A canopy conductance and photosynthesis model for use in a GCM land surface scheme. J Hydrol 212–213:79–94

    Article  Google Scholar 

  • Deardorff JW (1978) Effective prediction of ground surface temperature and moisture with inclusion of a layer of vegetation. J Geophys Res 83:1889–1903

    Article  Google Scholar 

  • Dickinson RE (1984) Modeling evapotranspiration for three-dimensional global climate models. In: Hansen JE, Takahashi T (eds) Climate processes and climate sensitivity, Geophysical monograph, 29. American Geophysical Union, Washington, DC, pp 58–72

    Chapter  Google Scholar 

  • Fedorov AN, Ivanova RN, Park H, Hiyama T, Iijima Y (2014) Recent air temperature changes in the permafrost landscapes of northeastern Eurasia. Pol Sci 8:114–128. https://doi.org/10.1016/j.polar.2014.02.001

    Article  Google Scholar 

  • Foley JA, Prentice IC, Ramankutty N, Levis S, Pollard D, Sitch S, Haxeltine A (1996) An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global Biogeochem Cycles 10(4):603–628

    Article  CAS  Google Scholar 

  • Ghatak D, Frei A, Gong G, Stroeve J, Robinson D (2010) On the emergence of an Arctic amplification signal in terrestrial Arctic snow extent. J Geophys Res 11:D24105. https://doi.org/10.1029/2010JD014007

    Article  Google Scholar 

  • Gouttevin I, Menegoz M, Domine F, Krinner G, Koven C, Ciais P, Tarnocai C, Boike J (2012) How the insulating properties of snow affect soil carbon distribution in the continental pan-Arctic area. J Geophys Res 117:G02020. https://doi.org/10.1029/2011JG001916

    Article  CAS  Google Scholar 

  • Haine TWN et al (2015) Arctic freshwater export: status, mechanisms, and prospects. Glob Planet Chang 124:13–35. https://doi.org/10.1016/j.gloplacha.2014.11.013

    Article  Google Scholar 

  • Hamada S, Ohta T, Hiyama T, Kuwada T, Takahashi A, Maximov TC (2004) Hydrometeorological behaviour of pine and larch forests in eastern Siberia. Hydrol Process 18:23–39

    Article  Google Scholar 

  • Holmes RM, Shiklomanov AI, Tank SE, McClelland JW, Tretiakov M (2015) River discharge. Arctic Report Card. http://www.arctic.noaa.gov/Report-Card/Report-Card-2015/ArtMID/5037/ArticleID/227/River-Discharge

  • Hugelius G et al (2014) Estimated stocks of circumpolar permafrost carbon with quantified uncertainty ranges and identified data gaps. Biogeosciences 11:6573–6593

    Article  Google Scholar 

  • Iida S et al (2009) Evapotranspiration from understory vegetation in an eastern Siberian boreal larch forest. Agric For Meteorol 149:1129–1139. https://doi.org/10.1016/j.agrformet.2009.02.003

    Article  Google Scholar 

  • Iijima Y, Fedorov AN, Park H, Suzuki K, Yabuki H, Maximov TC, Ohata T (2010) Abrupt increases in soil temperatures following increased precipitation in a permafrost region, Central Lena River basin, Russia. Permafr Periglac Process 21:30–41

    Article  Google Scholar 

  • Jarvis PG (1976) The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field. Philos Trans R Soc Lond B Biol Sci 273:593–610

    Article  CAS  Google Scholar 

  • Lawrence DM, Slater AG (2008) Incorporating organic soil into a global climate model. Clim Dyn 30:145–160. https://doi.org/10.1007/s00382-007-0278-1

    Article  Google Scholar 

  • Levis, SG, Bonan B, Vertenstein M, Oleson KW (2004) The Community Land Model’s Dynamic Global Vegetation Model (CLM-DGVM): Technical Description and User’s Guide, NCAR Tech. Note TN-459+lA, 50 pp, National Center for Atmospheric Research, Boulder, Colorado

    Google Scholar 

  • Liu J, Curry J, Wang H, Song M, Horton R (2012) Impact of declining Arctic Sea ice on winter snowfall. Proc Natl Acad Sci. https://doi.org/10.1073/pnas.1114910109

    Article  CAS  Google Scholar 

  • Liu L, Schaefer K, Grosse G, Jones BM, Zhang T, Parsekian AD, Zebker HA (2014) Seasonal thaw settlement at drained thermokarst lake basins. Arctic Alaska Cryosphere 8:815–826. https://doi.org/10.5194/tc-8-815-2014

    Article  Google Scholar 

  • Manabe S (1969) Climate and the ocean circulation: 1, the atmospheric circulation and the hydrology of the Earth’s surface. Mon Weather Rev 97:739–805

    Article  Google Scholar 

  • Miyazaki S et al (2015) The GRENE-TEA Model Intercomparison Project (GTMIP): overview and experiment protocol for Stage 1. Geosci Model Dev 8:2841–2856

    Article  Google Scholar 

  • Nakai T et al (2013) Characteristics of evapotranspiration from a permafrost black spruce forest in interior Alaska. Pol Sci 7:136–148. https://doi.org/10.1016/j.polar.2013.03.003

    Article  Google Scholar 

  • Ohta T, Hiyama T, Tanaka H, Kuwada T, Maximov TC, Ohata T, Fukushima Y (2001) Seasonal variation in the energy and water exchanges above and below a larch forest in eastern Siberia. Hydrol Process 15:1459–1476

    Article  Google Scholar 

  • Ohta T, Maximov TC, Dolman AJ, Nakai T, van der Molen MK, Kononov AV, Maximov AP, Hiyama T, Iijima Y, Moors EJ, Tanaka H, Toba T, Yabuki H (2008) Interannual variation of water balance and summer evapotranspiration in an eastern Siberian larch forest over a 7-year period (1998–2006). Agric For Meteorol 148:1941–1953

    Article  Google Scholar 

  • Ohta T, Kotani A, Iijima Y, Maximov TC, Ito S, Hanamura M, Kononov AV, Maximov AP (2014) Effects of waterlogging on water and carbon dioxide fluxes and environmental variables in a Siberian larch forest, 1998–2011. Agric For Meteorol 188:64–75

    Article  Google Scholar 

  • Park H, Yamazaki T, Yamamoto K, Ohta T (2008) Tempo-spatial characteristics of energy budget and evapotranspiration in the eastern Siberia. Agric For Meteorol 148:1990–2005. https://doi.org/10.1016/j.agrformet.2008.06.018

    Article  Google Scholar 

  • Park H, Iijima Y, Yabuki H, Ohta T, Walsh J, Kodama Y, Ohata T (2011) The application of a coupled hydrological and biogeochemical model (CHANGE) for modeling of energy, water, and CO2 exchanges over a larch forest in eastern Siberia. J Geophys Res 116:D15102. https://doi.org/10.1029/2010JD01586

    Article  Google Scholar 

  • Park H, Walsh J, Fedorov AN, Sherstiukov AB, Iijima Y, Ohata T (2013a) The influence of climate and hydrological variables on opposite anomaly in active-layer thickness between Eurasian and North American watersheds. Cryosphere 7:631–645. https://doi.org/10.5194/tc-7-631-2013

    Article  Google Scholar 

  • Park H, Walsh JE, Kim Y, Nakai T, Ohata T (2013b) The role of declining Arctic sea ice in recent decreasing terrestrial Arctic snow depths. Pol Sci 7:174–187. https://doi.org/10.1016/j.polar.2012.10.002

    Article  Google Scholar 

  • Park H, Sherstiukov AB, Fedorov AN, Polyakov IV, Walsh JE (2014) An observation-based assessment of the influence of air temperature and snow depth on soil temperature in Russia. Environ Res Lett 9:064026. https://doi.org/10.1088/1748-9326/9/6/064026

    Article  Google Scholar 

  • Park H, Fedorov AN, Zheleznyak MN, Konstantinov PY, Walsh JE (2015) Effect of snow cover on pan-Arctic permafrost thermal regimes. Clim Dyn 44:2873–2895. https://doi.org/10.1007/s00382-014-2356-5

    Article  Google Scholar 

  • Park H, Kim Y, Kimball JS (2016a) Widespread permafrost vulnerability and soil active layer increases over the high northern latitudes inferred from satellite remote sensing and process model assessments. Remote Sens Environ 175:349–358. https://doi.org/10.1016/j.rse.2015.12.046

    Article  Google Scholar 

  • Park H, Yoshikawa Y, Oshima K, Kim Y, Ngo-Duc T, Kimball JS, Yang D (2016b) Quantification of warming climate-induced changes in terrestrial Arctic river ice thickness and phenology. J Clim 29:1733–1754. https://doi.org/10.1175/JCLI-D-15-0569-1

    Article  Google Scholar 

  • Park H, Yoshikawa Y, Yang D, Oshima K (2017) Warming water in Arctic terrestrial rivers under climate change. J Hydrometeorol. https://doi.org/10.1175/JHM-D-16-0260.1

    Article  Google Scholar 

  • Pitman AJ (2003) The evolution of, and revolution in, land surface schemes designed for climate models. Int J Climatol 23:479–510

    Article  Google Scholar 

  • Rawlins MA et al (2010) Analysis of the Arctic system for freshwater cycle intensification: observations and expectations. J Clim 23:5715–5737. https://doi.org/10.1175/2010JCLI3421.1

    Article  Google Scholar 

  • Rawlins MA et al (2015) Assessment of model estimates of land-atmosphere CO2 exchange across Northern Eurasia. Biogeosciences 12:4385–4405. https://doi.org/10.5194/bg-12-4385-2015

    Article  Google Scholar 

  • Schuur EAG et al (2015) Climate change and the permafrost carbon feedback. Nature 520:171–179

    Article  CAS  Google Scholar 

  • Sellers PJ, Mintz Y, Sud YC, Dalcher A (1986) A simple biosphere model (SiB) for use within general circulation models. J Atmos Sci 43:505–531

    Article  Google Scholar 

  • Sellers PJ et al (1997) BOREAS in 1997: experiment overview, scientific results, and future directions. J Geophys Res 102:28731–28769

    Article  Google Scholar 

  • Serreze MC et al (2006) The large-scale freshwater cycle of the Arctic. J Geophys Res 111:C11010. https://doi.org/10.1029/2005JC003424

    Article  Google Scholar 

  • Starfield A, Chapins FS (1996) Model of transient changes in arctic and boreal vegetation in response to climate and land use change. Ecol Model 6:842–864

    Google Scholar 

  • Sugimoto A, Naito D, Yanagisawa N, Ichiyanagi K, Kurita N, Kubota J, Kotake T, Ohata T, Maximov TC, Fedorov AN (2003) Characteristics of soil moisture in permafrost observed in east Siberian taiga with stable isotopes of water. Hydrol Process 17:1073–1092

    Article  Google Scholar 

  • Swenson SC, Lawrence DM, Lee H (2012) Improved simulation of the terrestrial hydrological cycle in permafrost regions by the Community Land Model. J Adv Model Earth Syst 4:M08002. https://doi.org/10.1029/2012MS000165

    Article  Google Scholar 

  • Tananaev NI, Makarieva OM, Lebedeva LS (2016) Trends in annual and extreme flows in the Lena River basin, Northern Eurasia. Geophys Res Lett 43:10764–10772. https://doi.org/10.1002/2016GL070796

    Article  Google Scholar 

  • Toba T, Ohta T (2005) An observational study of the factors that influence interception loss in boreal and temperate forests. J Hydrol 313:208–220

    Article  Google Scholar 

  • Tucker CJ, Slayback DA, Pinzon JE, Los SO, Myneni RB, Taylor MG (2001) Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999. Int J Biometeorol 45:184–190

    Article  CAS  Google Scholar 

  • Ulrich M, Matthes H, Schirrmeister L, Schütze J, Park H, Iijima Y, Fedorov AN (2017) Differences in behavior and distribution of permafrost-related lakes in Central Yakutia and their response to climatic drivers. Water Resour Res 53. https://doi.org/10.1002/2016WR019267

    Article  Google Scholar 

  • Van Huissteden J, Berrittella C, Parmentier FJW, Mi Y, Maximov TC, Dolman AJ (2011) Methane emissions from permafrost thaw lakes limited by lake drainage. Nat Clim Chang 1:119–123. https://doi.org/10.1038/NCLIMATE1101

    Article  Google Scholar 

  • Verseghy DL (1991) CLASS -A Canadian land surface scheme for GCMs, Part I: Soil model. Int J Climatol 11:111–133

    Article  Google Scholar 

  • Verseghy DL, McFarland NA, Lazare M (1993) CLASS -A Canadian land surface scheme for GCMs, Part II: Vegetation model and coupled runs. Int J Climatol 13:347–370

    Article  Google Scholar 

  • Viterbo P, Betts AK (1999) Impact on ECMWF forecasts of changes to the albedo of the boreal forests in the presence of snow. J Geophys Res Atmos 104(D22):27803–27810

    Article  Google Scholar 

  • Yamazaki T (2001) A one-dimensional land surface model adaptable to intensely cold regions and its applications in Eastern Siberia. J Meteorol Soc Jpn 79:1107–1118

    Article  Google Scholar 

  • Yamazaki T, Yabuki H, Ishii Y, Ohta T, Ohata T (2004) Water and energy exchanges at forests and a grassland in eastern Siberia evaluated using a one-dimensional land surface model. J Hydrometeorol 5:504–515

    Article  Google Scholar 

  • Yamazaki T, Yabuki H, Ohata T (2007) Hydrometeorological effects of intercepted snow in an eastern Siberian taiga forest using a land surface model. Hydrol Process 21:1148–1156. https://doi.org/10.1002/hyp.6675

    Article  Google Scholar 

  • Yamazaki T, Kato K, Ito T, Nakai T, Matsumoto K, Miki N, Park H, Ohta T (2013) A common stomatal parameter set to simulate the energy and water balance over boreal and temperate forests. J Meteorol Soc Jpn 91:273–285. https://doi.org/10.2151/jmsj.2013-303

    Article  Google Scholar 

  • Yang D (1999) An improved precipitation climatology for the Arctic Ocean. Geophys Res Lett 26:1525–1528

    Article  Google Scholar 

  • Zhang K, Kimball JS, Hogg EH, Zhao M, Oechel WC, Cassano JJ, Running SW (2008) Satellite-based model detection of recent climate-driven changes in northern high-latitude vegetation productivity. J Geophys Res 113:G03033. https://doi.org/10.1029/2007JG000621

    Article  Google Scholar 

  • Zhang K, Kimball JS, Mu Q, Jones LA, Goetz SJ, Running SW (2009) Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005. J Hydrol 379:92–110. https://doi.org/10.1016/j.jhydrol.2009.09.047

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan

    Hotaek Park

  2. Tohoku University, Sendai, Japan

    Takeshi Yamazaki

Authors
  1. Hotaek Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Takeshi Yamazaki
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hotaek Park .

Editor information

Editors and Affiliations

  1. Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi, Japan

    Takeshi Ohta

  2. Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi, Japan

    Tetsuya Hiyama

  3. Graduate School of Bioresources, Mie University, Tsu, Mie, Japan

    Yoshihiro Iijima

  4. Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi, Japan

    Ayumi Kotani

  5. Institute for Biological Problems of Cryolithozone, Russian Academy of Sciences, Yakutsk, Yakutiya-Saha Republic, Russia

    Trofim C. Maximov

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Park, H., Yamazaki, T. (2019). Carbon-Water Cycle Modeling. In: Ohta, T., Hiyama, T., Iijima, Y., Kotani, A., Maximov, T. (eds) Water-Carbon Dynamics in Eastern Siberia. Ecological Studies, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-13-6317-7_12

Download citation

Publish with us

Policies and ethics

Search

Navigation