Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS)

Abstract

Several global gross primary production (GPP) and evapotranspiration (ET) remote sensing products exist, mainly provided by machine-learning (e.g. MPI-BGC) and semi-empirical (e.g. MODIS) approaches. Process-based approaches have the advantage of representing the atmosphere-vegetation-soil system and associated fluxes as an organic integration, but their sophistication results in a lack of high spatiotemporal resolution continuous products. Targeting this gap, we reported a new set of global 8-day composite 1-km resolution GPP and ET products from 2000 to 2015, using a simplified process-based model, the Breathing Earth System Simulator (BESS). BESS couples atmosphere and canopy radiative transfer, photosynthesis and evapotranspiration, and uses MODIS atmosphere and land data and other satellite data sources as inputs. We evaluated BESS products against FLUXNET observations at site scale (total of 113 sites, 742 site years), and against MPI-BGC products at global scale. At site scale, BESS 8-day Products agreed with FLUXNET observations with R-2 = 0.67 and RMSE = 2.58 gCm(-2) d(-1) for GPP, and R-2 = 0.62 and RMSE = 0.78 mm d(-1) for ET, respectively, and they captured a majority of seasonal variability, about half of spatial variability, and a minority of interannual variability in FLUXNET observations. At global scale, BESS mean annual sum GPP and ET maps agreed with MPI-BGC products with R-2 = 0.93 and RMSE = 229 gC m(-2) y(-1) for GPP, and R-2 = 0.90 and RMSE = 118 mm y(-1) for ET, respectively. Over the period of 2001-2011, BESS quantified the mean global GPP and ET as 122 +/- 25 PgC y(-1) and 65 x 10(3) +/- 11 x 10(3) km(3) y(-1), respectively, with a significant ascending GPP trend by 0.27 PgC y(-2) (p < 0.05), similar to MPI-BGC products as well. Overall, BESS GPP and ET estimates were comparable with FLUXNET observations and MPI-BGC products. The process-based BESS can serve as a set of independent GPP and ET products from official MODIS GPP and ET products. (C) 2016 Elsevier Inc. All rights reserved.