chore: sync ORCID publications

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publications/alexe2015inverse.qmd

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+---
+title: 'Inverse modelling of CH
+<sub>4</sub>
+emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY'
+author: 'Alexe, M. and Bergamaschi, P. and Segers, A. and Detmers, R. and Butz, A. and Hasekamp, O. and Guerlet, S. and Parker, R. and Boesch, H. and Frankenberg, C. and Scheepmaker, R. A. and Dlugokencky, E. and Sweeney, C. and Wofsy, S. C. and Kort, E. A.'
+type: 'journal-article'
+year: 2015
+publication: 'Atmospheric Chemistry and Physics'
+doi: '10.5194/acp-15-113-2015'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+Abstract. At the beginning of 2009 new space-borne observations of dry-air column-averaged mole fractions of atmospheric methane (XCH<sub>4</sub>) became available from the Thermal And Near infrared Sensor for carbon Observations–Fourier Transform Spectrometer (TANSO-FTS) instrument on board the Greenhouse Gases Observing SATellite (GOSAT). Until April 2012 concurrent {methane (CH<sub>4</sub>) retrievals} were provided by the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) instrument on board the ENVironmental SATellite (ENVISAT). The GOSAT and SCIAMACHY XCH<sub>4</sub> retrievals can be compared during the period of overlap. We estimate monthly average CH<sub>4</sub> emissions between January 2010 and December 2011, using the TM<sub>5</sub>-4DVAR inverse modelling system. In addition to satellite data, high-accuracy measurements from the Cooperative Air Sampling Network of the National Oceanic and Atmospheric Administration Earth System Research Laboratory (NOAA ESRL) are used, providing strong constraints on the remote surface atmosphere. We discuss five inversion scenarios that make use of different GOSAT and SCIAMACHY XCH<sub>4</sub> retrieval products, including two sets of GOSAT proxy retrievals processed independently by the Netherlands Institute for Space Research (SRON)/Karlsruhe Institute of Technology (KIT), and the University of Leicester (UL), and the RemoTeC "Full-Physics" (FP) XCH<sub>4</sub> retrievals available from SRON/KIT. The GOSAT-based inversions show significant reductions in the root mean square (rms) difference between retrieved and modelled XCH<sub>4</sub>, and require much smaller bias corrections compared to the inversion using SCIAMACHY retrievals, reflecting the higher precision and relative accuracy of the GOSAT XCH<sub>4</sub>. Despite the large differences between the GOSAT and SCIAMACHY retrievals, 2-year average emission maps show overall good agreement among all satellite-based inversions, with consistent flux adjustment patterns, particularly across equatorial Africa and North America. Over North America, the satellite inversions result in a significant redistribution of CH<sub>4</sub> emissions from North-East to South-Central United States. This result is consistent with recent independent studies suggesting a systematic underestimation of CH<sub>4</sub> emissions from North American fossil fuel sources in bottom-up inventories, likely related to natural gas production facilities. Furthermore, all four satellite inversions yield lower CH<sub>4</sub> fluxes across the Congo basin compared to the NOAA-only scenario, but higher emissions across tropical East Africa. The GOSAT and SCIAMACHY inversions show similar performance when validated against independent shipboard and aircraft observations, and XCH<sub>4</sub> retrievals available from the Total Carbon Column Observing Network (TCCON).

publications/ayasse2018evaluating.qmd

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+---
+title: 'Evaluating the effects of surface properties on methane retrievals using a synthetic airborne visible/infrared imaging spectrometer next generation (AVIRIS-NG) image'
+author: 'Ayasse, Alana K. and Thorpe, Andrew K. and Roberts, Dar A. and Funk, Christopher C. and Dennison, Philip E. and Frankenberg, Christian and Steffke, Andrea and Aubrey, Andrew D.'
+type: 'journal-article'
+year: 2018
+publication: 'Remote Sensing of Environment'
+doi: '10.1016/j.rse.2018.06.018'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+

publications/bacour2019differences.qmd

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+---
+title: 'Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective'
+author: 'Bacour, C. and Maignan, F. and Peylin, P. and MacBean, N. and Bastrikov, V. and Joiner, J. and Köhler, P. and Guanter, L. and Frankenberg, C.'
+type: 'journal-article'
+year: 2019
+publication: 'Journal of Geophysical Research: Biogeosciences'
+doi: '10.1029/2018jg004938'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+AbstractSpace‐borne retrievals of solar‐induced chlorophyll fluorescence (SIF) over land surfaces have recently become a resource for studying and quantifying the broad scale dynamics of gross carbon uptake (gross primary productivity—GPP) across ecosystems. To prepare for the assimilation of SIF data in terrestrial biosphere models, we examine how differences between SIF products (due to differences in acquisition characteristics and processing chain) may affect the optimization of model parameters and the resultant GPP estimate. We compare recent daily mean SIF products (one from the Orbiting Carbon Observatory‐2 [OCO‐2] and two from the Global Ozone Monitoring Experiment–2 [GOME‐2], GlobFluo [GF] and NASA‐v28 [N<sub>28</sub>], missions), averaged at 0.5° × 0.5° spatial resolution and 16‐day temporal resolution, at the biome level. Phase differences between these products are relatively small. A first‐order correction of the difference in spectral sampling between the two instruments shows that OCO‐2 and N<sub>28</sub> are consistent in terms of magnitude and amplitude, while GF is twice as large as the others. Using a bias‐blind toy data assimilation framework, we analyze how biases between SIF products, and between model and products, can be partially alleviated by optimizing the slope and intercept parameters of a linear GPP‐SIF operator. As observation biases can transfer to biases in other optimized process‐based parameters and to modeled carbon fluxes— thereby resulting in unidentified inaccurate parameter values—we argue that potential SIF biases should be treated cautiously in real‐world experiments in order to achieve realistic and reliable future simulations.

publications/bacour2019improving.qmd

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+---
+title: 'Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model'
+author: 'Bacour, C. and Maignan, F. and MacBean, N. and Porcar‐Castell, A. and Flexas, J. and Frankenberg, C. and Peylin, P. and Chevallier, F. and Vuichard, N. and Bastrikov, V.'
+type: 'journal-article'
+year: 2019
+publication: 'Journal of Geophysical Research: Biogeosciences'
+doi: '10.1029/2019jg005040'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+AbstractOver the last few years, solar‐induced chlorophyll fluorescence (SIF) observations from space have emerged as a promising resource for evaluating the spatio‐temporal distribution of gross primary productivity (GPP) simulated by global terrestrial biosphere models. SIF can be used to improve GPP simulations by optimizing critical model parameters through statistical Bayesian data assimilation techniques. A prerequisite is the availability of a functional link between GPP and SIF in terrestrial biosphere models. Here we present the development of a mechanistic SIF observation operator in the ORCHIDEE (Organizing Carbon and Hydrology In Dynamic Ecosystems) terrestrial biosphere model. It simulates the regulation of photosystem II fluorescence quantum yield at the leaf level thanks to a novel parameterization of non‐photochemical quenching as a function of temperature, photosynthetically active radiation, and normalized quantum yield of photochemistry. It emulates the radiative transfer of chlorophyll fluorescence to the top of the canopy using a parametric simplification of the SCOPE (Soil Canopy Observation Photosynthesis Energy) model. We assimilate two years of monthly OCO‐2 (Orbiting Carbon Observatory‐2) SIF product at 0.5° (2015–2016) to optimize ORCHIDEE photosynthesis and phenological parameters over an ensemble of grid points for all plant functional types. The impact on the simulated GPP is considerable with a large decrease of the global scale budget by 28 GtC/year over the period 1990–2009. The optimized GPP budget (134/136 GtC/year over 1990–2009/2001–2009) remarkably agrees with independent GPP estimates, FLUXSAT (137 GtC/year over 2001–2009) in particular and FLUXCOM (121 GtC/year over 1990–2009). Our results also suggest a biome dependency of the SIF‐GPP relationship that needs to be improved for some plant functional types.

publications/basu2014the.qmd

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+---
+title: 'The seasonal variation of the CO<sub>2</sub> flux over Tropical Asia estimated from GOSAT, CONTRAIL, and IASI'
+author: 'Basu, S. and Krol, M. and Butz, A. and Clerbaux, C. and Sawa, Y. and Machida, T. and Matsueda, H. and Frankenberg, C. and Hasekamp, O. P. and Aben, I.'
+type: 'journal-article'
+year: 2014
+publication: 'Geophysical Research Letters'
+doi: '10.1002/2013gl059105'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+AbstractWe estimate the CO<sub>2</sub> flux over Tropical Asia in 2009, 2010, and 2011 using Greenhouse Gases Observing Satellite (GOSAT) total column CO<sub>2</sub>(XCO<sub>2</sub>) and in situ measurements of CO<sub>2</sub>. Compared to flux estimates from assimilating surface measurements of CO<sub>2</sub>, GOSAT XCO<sub>2</sub> estimates a more dynamic seasonal cycle and a large source in March–May 2010. The more dynamic seasonal cycle is consistent with earlier work by Patra et al. (2011), and the enhanced 2010 source is supported by independent upper air CO<sub>2</sub> measurements from the Comprehensive Observation Network for Trace gases by Airliner (CONTRAIL) project. Using Infrared Atmospheric Sounding Interferometer (IASI) measurements of total column CO (XCO), we show that biomass burning CO<sub>2</sub> can explain neither the dynamic seasonal cycle nor the 2010 source. We conclude that both features must come from the terrestrial biosphere. In particular, the 2010 source points to biosphere response to above‐average temperatures that year.

publications/beck2012methane.qmd

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+---
+title: 'Methane airborne measurements and comparison to global models during BARCA'
+author: 'Beck, Veronika and Chen, Huilin and Gerbig, Christoph and Bergamaschi, Peter and Bruhwiler, Lori and Houweling, Sander and Röckmann, Thomas and Kolle, Olaf and Steinbach, Julia and Koch, Thomas and Sapart, Célia J. and van der Veen, Carina and Frankenberg, Christian and Andreae, Meinrat O. and Artaxo, Paulo and Longo, Karla M. and Wofsy, Steven C.'
+type: 'journal-article'
+year: 2012
+publication: 'Journal of Geophysical Research: Atmospheres'
+doi: '10.1029/2011jd017345'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+Tropical regions, especially the Amazon region, account for large emissions of methane (CH<sub>4</sub>). Here, we present CH<sub>4</sub> observations from two airborne campaigns conducted within the BARCA (Balanço Atmosférico Regional de Carbono na Amazônia) project in the Amazon basin in November 2008 (end of the dry season) and May 2009 (end of the wet season). We performed continuous measurements of CH<sub>4</sub> onboard an aircraft for the first time in the Amazon region, covering the whole Amazon basin with over 150 vertical profiles between altitudes of 500 m and 4000 m. The observations support the finding of previous ground‐based, airborne, and satellite measurements that the Amazon basin is a large source of atmospheric CH<sub>4</sub>. Isotope analysis verified that the majority of emissions can be attributed to CH<sub>4</sub> emissions from wetlands, while urban CH<sub>4</sub> emissions could be also traced back to biogenic origin. A comparison of five TM<sub>5</sub> based global CH<sub>4</sub> inversions with the observations clearly indicates that the inversions using SCIAMACHY observations represent the BARCA observations best. The calculated CH<sub>4</sub> flux estimate obtained from the mismatch between observations and TM<sub>5</sub>‐modeled CH<sub>4</sub> fields ranges from 36 to 43 mg m−2 d−1 for the Amazon lowland region.

publications/bergamaschi2007satellite.qmd

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+---
+title: 'Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: 2. Evaluation based on inverse model simulations'
+author: 'Bergamaschi, P. and Frankenberg, C. and Meirink, J. F. and Krol, M. and Dentener, F. and Wagner, T. and Platt, U. and Kaplan, J. O. and Körner, S. and Heimann, M. and Dlugokencky, E. J. and Goede, A.'
+type: 'journal-article'
+year: 2007
+publication: 'Journal of Geophysical Research: Atmospheres'
+doi: '10.1029/2006jd007268'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+We extend the analysis of a global CH<sub>4</sub> data set retrieved from SCIAMACHY (Frankenberg et al., 2006) by making a detailed comparison with inverse TM<sub>5</sub> model simulations for 2003 that are optimized versus high accuracy CH<sub>4</sub> surface measurements from the NOAA ESRL network. The comparison of column averaged mixing ratios over remote continental and oceanic regions shows that major features of the atmospheric CH<sub>4</sub> distribution are consistent between SCIAMACHY observations and model simulations. However, the analysis suggests that SCIAMACHY CH<sub>4</sub> retrievals may have some bias that depends on latitude and season (up to ∼30 ppb). Large enhancements of column averaged CH<sub>4</sub> mixing ratios (∼50–100 ppb) are observed and modeled over India, Southeast Asia, and the tropical regions of South America, and Africa. We present a detailed comparison of observed spatial patterns and their seasonal evolution with TM<sub>5</sub> 1° × 1° zoom simulations over these regions. Application of a new wetland inventory leads to a significant improvement in the agreement between SCIAMACHY retrievals and model simulations over the Amazon basin during the first half of the year. Furthermore, we present an initial coupled inversion that simultaneously uses the surface and satellite observations and that allows the inverse system to compensate for the potential systematic bias. The results suggest significantly greater tropical emissions compared to either the a priori estimates or the inversion based on the surface measurements only. Emissions from rice paddies in India and Southeast Asia are relatively well constrained by the SCIAMACHY data and are slightly reduced by the inversion.

publications/bergamaschi2009inverse.qmd

@@ -0,0 +1,16 @@
+---
+title: 'Inverse modeling of global and regional CH<sub>4</sub> emissions using SCIAMACHY satellite retrievals'
+author: 'Bergamaschi, Peter and Frankenberg, Christian and Meirink, Jan Fokke and Krol, Maarten and Villani, M. Gabriella and Houweling, Sander and Dentener, Frank and Dlugokencky, Edward J. and Miller, John B. and Gatti, Luciana V. and Engel, Andreas and Levin, Ingeborg'
+type: 'journal-article'
+year: 2009
+publication: 'Journal of Geophysical Research: Atmospheres'
+doi: '10.1029/2009jd012287'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+Methane retrievals from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) instrument onboard ENVISAT provide important information on atmospheric CH<sub>4</sub> sources, particularly in tropical regions which are poorly monitored by in situ surface observations. Recently, Frankenberg et al. (2008a, 2008b) reported a major revision of SCIAMACHY retrievals due to an update of spectroscopic parameters of water vapor and CH<sub>4</sub>. Here, we analyze the impact of this revision on global and regional CH<sub>4</sub> emissions estimates in 2004, using the TM<sub>5</sub>‐4DVAR inverse modeling system. Inversions based on the revised SCIAMACHY retrievals yield ∼20% lower tropical emissions compared to the previous retrievals. The new retrievals improve significantly the consistency between observed and assimilated column average mixing ratios and the agreement with independent validation data. Furthermore, the considerable latitudinal and seasonal bias correction of the previous SCIAMACHY retrievals, derived in the TM<sub>5</sub>‐4DVAR system by simultaneously assimilating high‐accuracy surface measurements, is reduced by a factor of ∼3. The inversions result in significant changes in the spatial patterns of emissions and their seasonality compared to the bottom‐up inventories. Sensitivity tests were done to analyze the robustness of retrieved emissions, revealing some dependence on the applied a priori emission inventories and OH fields. Furthermore, we performed a detailed validation of simulated CH<sub>4</sub> mixing ratios using NOAA ship and aircraft profile samples, as well as stratospheric balloon samples, showing overall good agreement. We use the new SCIAMACHY retrievals for a regional analysis of CH<sub>4</sub> emissions from South America, Africa, and Asia, exploiting the zooming capability of the TM<sub>5</sub> model. This allows a more detailed analysis of spatial emission patterns and better comparison with aircraft profiles and independent regional emission estimates available for South America. Large CH<sub>4</sub> emissions are attributed to various wetland regions in tropical South America and Africa, seasonally varying and opposite in phase with CH<sub>4</sub> emissions from biomass burning. India, China and South East Asia are characterized by pronounced emissions from rice paddies peaking in the third quarter of the year, in addition to further anthropogenic emissions throughout the year.