A5107845282- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Atmospheric chemistry and aerosols
- Remote Sensing in Agriculture
- Atmospheric Ozone and Climate
- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Geophysics and Gravity Measurements
- Fire effects on ecosystems
- Fire dynamics and safety research
- Climate Change Policy and Economics
- Geochemistry and Geologic Mapping
- Climate change and permafrost
- Soil Geostatistics and Mapping
- Carbon Dioxide Capture Technologies
- Advanced Data Processing Techniques
- Leaf Properties and Growth Measurement
- Air Quality Monitoring and Forecasting
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Simulation Techniques and Applications
- Disaster Management and Resilience
- Fire Detection and Safety Systems
Hamburg Institut (Germany)
2019
FastOpt (Germany)
2006-2014
Wageningen University & Research
2011
Max Planck Society
1999-2002
Max Planck Institute for Meteorology
1996-2000
One of the major advantages carbon cycle data assimilation is possibility to estimate fluxes with uncertainties in a prognostic mode, that beyond time period dioxide (CO 2 ) observations. The system built around Biosphere Energy Transfer Hydrology Scheme (BETHY) model, coupled atmospheric transport model TM2. It uses about decades observations concentration from global network constrain 57 process parameters via an adjoint approach. model's Hessian matrix second derivatives provides...
Human impact on wildfires, a major earth system component, remains poorly understood. While local studies have found more fires close to settlements and roads, assimilated charcoal records analyses of regional fire patterns from remote-sensing observations point decline in frequency with increasing human population. Here, we present global analysis using three multi-year satellite-based burned-area products combined parameter estimation uncertainty non-linear model. We show that at the...
Photosynthesis by terrestrial plants is the main driver of global carbon cycle, and presence actively photosynthesizing vegetation can now be observed from space. However, challenges remain when translating remotely sensed data into fluxes. One reason that Fraction Absorbed Photosynthetically Active Radiation (FAPAR), which documents photosynthetically active vegetation, relates more directly to leaf development phenology than photosynthetic rates. Here, we present a new approach for linking...
This paper demonstrates a new method of assimilating atmospheric concentration data into terrestrial biosphere models. Using combination adjoint and tangent linear models both the underlying model transport model, we directly infer optimal parameters their uncertainties. We also compute biospheric fluxes uncertainties arising from these parameters. demonstrate using Simple Diagnostic Biosphere Model (SDBM) on seasonal cycle CO 2 41 observing sites. In light‐use efficiency for several biomes...
Abstract. The terrestrial biosphere is currently a strong sink for anthropogenic CO2 emissions. Through the radiative properties of CO2, strength this has direct influence on budget global climate system. accurate assessment and its evolution under changing is, hence, paramount any efficient management strategies carbon to avoid dangerous change. Unfortunately, simulations water fluxes with models exhibit large uncertainties. A considerable fraction uncertainty reflects in parameter values...
[1] This contribution illustrates results from a large-scale application of the Joint Research Centre Two-stream Inversion Package (JRC-TIP), using MODIS broadband visible and near-infrared white sky surface albedos as inputs. The discussion focuses on products (based mean one-sigma values probability distribution functions (PDFs)) obtained during summer winter. paper discusses retrieved model parameters including effective leaf area index (LAI), background brightness, scattering efficiency...
Abstract The northern land biosphere is believed to be the main global sink of CO 2 , but contribution Europe uncertain. While bottom‐up estimates and inverse atmospheric transport studies based on observed in situ or from space by OCO‐2 point a moderate rate uptake, some other inversions remotely sensed GOSAT/SCIAMACHY biomass passive microwave satellite data large around 1 Gt C/yr. We present results combining both approaches assimilation framework, inverting model against measurements....
We present a computer‐efficient software package enabling us to assimilate operational remote‐sensing flux products into state‐of‐the‐art two‐stream radiation transfer scheme suitable for climate models. This implements the adjoint and Hessian codes, generated using automatic differentiation techniques, of cost function balancing (1) deviation from priori knowledge on model parameter values (2) misfit between observed fluxes simulations. The individual weights these contributions are...
[1] The two-stream model parameters and associated uncertainties retrieved by inversion against MODIS broadband visible near-infrared white sky surface albedos were discussed in a companion paper. present paper concentrates on the partitioning of solar radiation fluxes delivered Joint Research Centre Two-stream Inversion Package (JRC-TIP). estimation various flux fractions related to vegetation background layers separately capitalizes probability density functions propagation from...
Abstract. Terrestrial productivity in semi-arid woodlands is strongly susceptible to changes precipitation, and constitute an important element of the global water carbon cycles. Here, we use Carbon Cycle Data Assimilation System (CCDAS) investigate key parameters controlling ecological hydrological activities for a savanna woodland site Maun, Botswana. Twenty-four eco-hydrological process terrestrial ecosystem model are optimized against two data streams separately simultaneously: daily...
Understanding the carbon dynamics of terrestrial biosphere during climate fluctuations is a prerequisite for any reliable modeling climate‐carbon cycle feedback. We drive vegetation model with observed data to show that most in atmospheric CO 2 are consistent modeled shift balance between uptake by plants and loss through soil plant respiration. Simulated anomalies Fraction Absorbed Photosynthetically Active Radiation (FAPAR) last two El Niño events also agree well satellite observations....
The main goal of this study is to help bridge the gap between available remote sensing products and large‐scale global climate models. We present results from application an inversion method conducted using both MODerate resolution Imaging Spectroradiometer (MODIS) Multiangle SpectroRadiometer (MISR) derived broadband visible near‐infrared surface albedo products. This contribution extension earlier efforts optimally retrieve land fluxes associated two‐stream model parameters (Pinty et al.,...
ESA’s Earth Explorer candidate mission A-SCOPE aims at observing CO2 from space with an active LIDAR instrument. This study employs quantitative network design techniques to investigate the benefit of observations in a Carbon Cycle Data Assimilation System. The system links terrestrial vegetation model BETHY via fine resolution version atmospheric transport TM3. In modelling process chain are used reduce uncertainties values BETHY’s parameters, and then uncertainty parameters is mapped...
Abstract. The sensitivity of the process parameters Biosphere Energy Transfer HYdrology (BETHY) model to choices atmospheric concentration network, high frequency terrestrial fluxes, and choice flux measurement network is investigated by using a carbon cycle data assimilation system. We use BETHY-generated fluxes as proxy measurements. Results show that monthly mean or low-frequency observations CO2 provide strong constraints on relevant for net (NEP) but only weak controlling gross fluxes....
We use a carbon-cycle data assimilation system to estimate the terrestrial biospheric CO(2) flux until 2090. The sink increases rapidly and increase is stronger in presence of climate change. Using linearized model, we calculate uncertainty owing model parameters. large dominated by impact soil moisture on heterotrophic respiration. show that this can be greatly reduced constraining parameters with two decades atmospheric measurements.
Abstract. Human impact on wildfires, a major Earth system component, remains poorly understood. While local studies have found more fires close to settlements and roads, assimilated charcoal records analyses of regional fire patterns from remote-sensing observations point decline in frequency with increasing human population. Here, we present global analysis using three multi-year satellite-based burned-area products combined parameter estimation uncertainty non-linear model. We show that at...
Abstract. Terrestrial productivity in semi-arid woodlands is strongly susceptible to changes precipitation, and constitute an important element of the global water carbon cycles. Here, we use Carbon Cycle Data Assimilation System (CCDAS) investigate mechanisms controlling ecological hydrogical activities for a savanna woodland site Maun, Botswana. Twenty-four eco-hydrological process parameters terrestrial ecosystem model are optimized against two data streams either separately or...