Published February 13, 2023 | Version v1

Amazon and Congo forest moisture recycling 1979-2014

  • 1. Stockholm Resilience Centre, Stockholm University, Sweden
  • 2. 5. Department of Water Management, Delft University of Technology, the Netherlands
  • 3. 6. Copernicus Institute of Sustainable Development, Utrecht University, the Netherlands
  • 4. 7. Department of Atmospheric Science, Colorado State University, USA
  • 5. 8. University of Neuchâtel, Switzerland
  • 6. 1. Stockholm Resilience Centre (SRC), Stockholm University, Sweden
  • 7. 3. Research Institute for Humanity and Nature (RIHN), Japan

Description

Evaporation and precipitation recycling of  the rainforests in South America and Africa 1979-2014. Do not use the spin-up years 1979 and 2014.   

Notes

%MATLAB script for loading data for your convenience. Please define the paths. lat150 = ncread([myFolder 'Data\Interim_data\invariants.nc'],'latitude'); % [degrees_north] lon150 = ncread([myFolder 'Data\Interim_data\invariants.nc'],'longitude'); % [degrees_east] lat150 = double(lat150); lon150 = double(lon150); lsm = ncread([myFolder 'Data\Interim_data\invariants.nc'],'lsm'); % [degrees_north] lsm = lsm'; dg = 111089.56; gridcell = abs(lat150(2)-lat150(1)); % grid cell size [degrees] A_gridcell = (gridcell*dg)*(gridcell*cos(lat150*pi/180)*dg); % area size of the grid cell [m2] gridAreaMap = A_gridcell*ones(1,length(lon150)); %gridAreas for each cell of the world years = 1979:2014; load([outputFolder sprintf('Y%d-Y%d-precMYrs.mat',years(1),years(end))],'precMYrs') load([outputFolder sprintf('Y%d-Y%d-pTrackRatioMYrs.mat',years(1),years(end))],'pTrackRatioMYrs') evapMYrs = importdata([outputFolder sprintf('Y%d-Y%d-evapMYrsAmazonFor.mat',years(1),years(end))],'evapMYrsAmazonFor'); load([outputFolder sprintf('Y%d-Y%d-evapTrackMYrsAmazonFor.mat',years(1),years(end))],'evapTrackMYrsAmazonFor') load([outputFolder sprintf('Y%d-Y%d-evapTrackMYrsCongoFor.mat',years(1),years(end))],'evapTrackMYrsCongoFor') % p-shed load([outputFolder sprintf('Y%d-Y%d-precMYrsAmazonFor.mat',years(1),years(end))],'precMYrsAmazonFor') load([outputFolder sprintf('Y%d-Y%d-precTrackMYrsAmazonFor.mat',years(1),years(end))],'precTrackMYrsAmazonFor') % e-shed load([outputFolder sprintf('Y%d-Y%d-precMYrsCongoFor.mat',years(1),years(end))],'precMYrsCongoFor') load([outputFolder sprintf('Y%d-Y%d-precTrackMYrsCongoFor.mat',years(1),years(end))],'precTrackMYrsCongoFor') load([outputFolder sprintf('Y%d-Y%d-amazonRegions.mat',years(1),years(end))],... 'amSource','amazonHotspot','amazonSinkMinorNorth','amazonSinkMinorSouth','amazonSinkMajor') load([outputFolder sprintf('Y%d-Y%d-congoRegions.mat',years(1),years(end))],... 'coSource','congoHotspot','congoSinkMinorNorth','congoSinkMinorSouth','congoSinkMajor') % For calculating evaporation recycling ratios: evapTrackRatioMYrsAmazonFor = evapTrackMYrsAmazonFor./evapMYrs; evapTrackRatioMYrsCongoFor = evapTrackMYrsCongoFor./evapMYrs; % The forest regions are: regionAm = amSource + amazonHotspot; %Rainforest in South America regionCo = coSource + congoHotspot; %Rainforest in Africa

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Additional details

Funding

European Commission
ERA - Earth Resilience in the Anthropocene (ERA) Integrating non-linear biophysical and social determinants of Earth-system stability for global sustainability through a novel community modelling platform 743080