PALADYN v1.0, a comprehensive land surface-vegetation-carbon cycle model of intermediate complexity

被引:12
|
作者
Willeit, Matteo [1 ]
Ganopolski, Andrey [1 ]
机构
[1] Potsdam Inst Climate Impact Res PIK, Potsdam, Germany
关键词
NET PRIMARY PRODUCTIVITY; TERRESTRIAL BIOSPHERE MODEL; SNOW WATER EQUIVALENT; LAST GLACIAL MAXIMUM; EARTH SYSTEM MODELS; PART I; PERMAFROST CARBON; CLIMATE-CHANGE; SOIL CARBON; DATA SET;
D O I
10.5194/gmd-9-3817-2016
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
PALADYN is presented; it is a new comprehensive and computationally efficient land surface-vegetation-carbon cycle model designed to be used in Earth system models of intermediate complexity for long-term simulations and paleoclimate studies. The model treats in a consistent manner the interaction between atmosphere, terrestrial vegetation and soil through the fluxes of energy, water and carbon. Energy, water and carbon are conserved. PALADYN explicitly treats permafrost, both in physical processes and as an important carbon pool. It distinguishes nine surface types: five different vegetation types, bare soil, land ice, lake and ocean shelf. Including the ocean shelf allows the treatment of continuous changes in sea level and shelf area associated with glacial cycles. Over each surface type, the model solves the surface energy balance and computes the fluxes of sensible, latent and ground heat and upward shortwave and longwave radiation. The model includes a single snow layer. Vegetation and bare soil share a single soil column. The soil is vertically discretized into five layers where prognostic equations for temperature, water and carbon are consistently solved. Phase changes of water in the soil are explicitly considered. A surface hydrology module computes precipitation interception by vegetation, surface runoff and soil infiltration. The soil water equation is based on Darcy's law. Given soil water content, the wetland fraction is computed based on a topographic index. The temperature profile is also computed in the upper part of ice sheets and in the ocean shelf soil. Photosynthesis is computed using a light use efficiency model. Carbon assimilation by vegetation is coupled to the transpiration of water through stomatal conductance. PALADYN includes a dynamic vegetation module with five plant functional types competing for the grid cell share with their respective net primary productivity. PALADYN distinguishes between mineral soil carbon, peat carbon, buried carbon and shelf carbon. Each soil carbon type has its own soil carbon pools generally represented by a litter, a fast and a slow carbon pool in each soil layer. Carbon can be redistributed between the layers by vertical diffusion and advection. For the vegetated macro surface type, decomposition is a function of soil temperature and soil moisture. Carbon in permanently frozen layers is assigned a long turnover time which effectively locks carbon in permafrost. Carbon buried below ice sheets and on flooded ocean shelves is treated differently. The model also includes a dynamic peat module. PALADYN includes carbon isotopes C-13 and C-14, which are tracked through all carbon pools. Isotopic discrimination is modelled only during photosynthesis. A simple methane module is implemented to represent methane emissions from anaerobic carbon decomposition in wetlands (including peatlands) and flooded ocean shelf. The model description is accompanied by a thorough model evaluation in offline mode for the present day and the historical period.
引用
收藏
页码:3817 / 3857
页数:41
相关论文
共 50 条
  • [1] A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0
    Knorr, Wolfgang
    Williams, Matthew
    Thum, Tea
    Kaminski, Thomas
    Vossbeck, Michael
    Scholze, Marko
    Quaife, Tristan
    Smallman, T. Luke
    Steele-Dunne, Susan C.
    Vreugdenhil, Mariette
    Green, Tim
    Zaehle, Soenke
    Aurela, Mika
    Bouvet, Alexandre
    Bueechi, Emanuel
    Dorigo, Wouter
    El-Madany, Tarek S.
    Migliavacca, Mirco
    Honkanen, Marika
    Kerr, Yann H.
    Kontu, Anna
    Lemmetyinen, Juha
    Lindqvist, Hannakaisa
    Mialon, Arnaud
    Miinalainen, Tuuli
    Pique, Gaetan
    Ojasalo, Amanda
    Quegan, Shaun
    Rayner, Peter J.
    Reyes-Munoz, Pablo
    Rodriguez-Fernandez, Nemesio
    Schwank, Mike
    Verrelst, Jochem
    Zhu, Songyan
    Schuettemeyer, Dirk
    Drusch, Matthias
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2025, 18 (07) : 2137 - 2159
  • [2] Including an ocean carbon cycle model into iLOVECLIM (v1.0)
    Bouttes, N.
    Roche, D. M.
    Mariotti, V.
    Bopp, L.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2015, 8 (05) : 1563 - 1576
  • [3] Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0
    Schuermann, Gregor J.
    Kaminski, Thomas
    Koestler, Christoph
    Carvalhais, Nuno
    Vossbeck, Michael
    Kattge, Jens
    Giering, Ralf
    Roedenbeck, Christian
    Heimann, Martin
    Zaehle, Soenke
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (09) : 2999 - 3026
  • [4] PLASIM-GENIE v1.0: a new intermediate complexity AOGCM
    Holden, Philip B.
    Edwards, Neil R.
    Fraedrich, Klaus
    Kirk, Edilbert
    Lunkeit, Frank
    Zhu, Xiuhua
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (09) : 3347 - 3361
  • [5] The [simple carbon project] model v1.0
    O'Neill, Cameron M.
    Hogg, Andrew McC.
    Ellwood, Michael J.
    Eggins, Stephen M.
    Opdyke, Bradley N.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2019, 12 (04) : 1541 - 1572
  • [6] The impact of changing the land surface scheme in ACCESS(v1.0/1.1) on the surface climatology
    Kowalczyk, Eva A.
    Stevens, Lauren E.
    Law, Rachel M.
    Harman, Ian N.
    Dix, Martin
    Franklin, Charmaine N.
    Wang, Ying-Ping
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (08) : 2771 - 2791
  • [7] A dynamic local-scale vegetation model for lycopsids (LYCOm v1.0)
    Halder, Suman
    Arens, Susanne K. M.
    Jensen, Kai
    Dahl, Tais W.
    Porada, Philipp
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2022, 15 (05) : 2325 - 2343
  • [8] A hydrological cycle model for the Globally Resolved Energy Balance (GREB) model v1.0
    Stassen, Christian
    Dommenget, Dietmar
    Loveday, Nicholas
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2019, 12 (01) : 425 - 440
  • [9] Effects of vegetation structure on biomass accumulation in a Balanced Optimality Structure Vegetation Model (BOSVM v1.0)
    Yin, Z.
    Dekker, S. C.
    van den Hurk, B. J. J. M.
    Dijkstra, H. A.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2014, 7 (03) : 821 - 845
  • [10] Synthesizing global carbon-nitrogen coupling effects - the MAGICC coupled carbon-nitrogen cycle model v1.0
    Tang, Gang
    Nicholls, Zebedee
    Norton, Alexander
    Zaehle, Soenke
    Meinshausen, Malte
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2025, 18 (07) : 2193 - 2230