chore: sync ORCID publications

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publications/basu2014the.qmd

@@ -1,5 +1,7 @@
 ---
-title: 'The seasonal variation of the CO<sub>2</sub> flux over Tropical Asia estimated from GOSAT, CONTRAIL, and IASI'
+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
@@ -13,4 +15,22 @@ 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.
+Abstract
+
+We estimate the CO
+2
+flux over Tropical Asia in 2009, 2010, and 2011 using Greenhouse Gases Observing Satellite (GOSAT) total column CO
+2
+(XCO
+2
+) and in situ measurements of CO
+2
+. Compared to flux estimates from assimilating surface measurements of CO
+2
+, GOSAT XCO
+2
+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
+2
+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
+2
+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/bloom2015remote-sensing.qmd

@@ -0,0 +1,16 @@
+---
+title: 'Remote‐sensing constraints on South America fire traits by Bayesian fusion of atmospheric and surface data'
+author: 'Bloom, A. Anthony and Worden, John and Jiang, Zhe and Worden, Helen and Kurosu, Thomas and Frankenberg, Christian and Schimel, David'
+type: 'journal-article'
+year: 2015
+publication: 'Geophysical Research Letters'
+doi: '10.1002/2014gl062584'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+AbstractSatellite observations reveal substantial burning during the 2007 and 2010 tropical South America fire season, with both years exhibiting similar total burned area. However, 2010 CO fire emissions, based on satellite CO concentration measurements, were substantially lower (−28%), despite the once‐in‐a‐century drought in 2010. We use Bayesian inference with satellite measurements of CH<sub>4</sub> and CO concentrations and burned area to quantify shifts in combustion characteristics in 2010 relative to 2007. We find an 88% probability in reduced combusted biomass density associated with the 2010 fires and an 82% probability of lower fire carbon losses in 2010 relative to 2007. Higher combustion efficiency was a smaller contributing factor to the reduced 2010 CO emissions. The reduction in combusted biomass density is consistent with a reduction (4–6%) in Global Ozone Monitoring Experiment 2 solar‐induced fluorescence (a proxy for gross primary production) during the preceding months and a potential reduction in biomass (≤8.3%) due to repeat fires.

publications/butz2011toward.qmd

@@ -1,5 +1,9 @@
 ---
-title: 'Toward accurate CO<sub>2</sub>and CH<sub>4</sub>observations from GOSAT'
+title: 'Toward accurate CO
+<sub>2</sub>
+and CH
+<sub>4</sub>
+observations from GOSAT'
 author: 'Butz, A. and Guerlet, S. and Hasekamp, O. and Schepers, D. and Galli, A. and Aben, I. and Frankenberg, C. and Hartmann, J.-M. and Tran, H. and Kuze, A. and Keppel-Aleks, G. and Toon, G. and Wunch, D. and Wennberg, P. and Deutscher, N. and Griffith, D. and Macatangay, R. and Messerschmidt, J. and Notholt, J. and Warneke, T.'
 type: 'journal-article'
 year: 2011

publications/cusworth2021multisatellite.qmd

@@ -13,4 +13,5 @@ toc: false
 
 ## Abstract
 
-AbstractIncidents involving loss of control of oil/gas wells can result in large but variable emissions whose impact on the global methane budget is currently unknown. On November 1, 2019, a gas well blowout was reported in the Eagle Ford Shale. By combining satellite observations at different spatial and temporal scales, we quantified emissions 10 times during the 20‐day event. Our multisatellite synthesis captures both the short‐term dynamics and total integrated emissions of the blowout. Such detailed event characterization was previously not possible from space and difficult to do with surface measurements. We present 30‐m methane and carbon dioxide plumes from the PRISMA satellite, which let us estimate flare combustion efficiency (87%). Integrating emissions across all satellites, we estimate 4,800 ± 980 metric tons lost methane. Blowouts occur across the globe and multisatellite observations can help to determine their pervasiveness, enable corrective action, and quantify their contribution to global methane budgets.
+Abstract
+Incidents involving loss of control of oil/gas wells can result in large but variable emissions whose impact on the global methane budget is currently unknown. On November 1, 2019, a gas well blowout was reported in the Eagle Ford Shale. By combining satellite observations at different spatial and temporal scales, we quantified emissions 10 times during the 20‐day event. Our multisatellite synthesis captures both the short‐term dynamics and total integrated emissions of the blowout. Such detailed event characterization was previously not possible from space and difficult to do with surface measurements. We present 30‐m methane and carbon dioxide plumes from the PRISMA satellite, which let us estimate flare combustion efficiency (87%). Integrating emissions across all satellites, we estimate 4,800 ± 980 metric tons lost methane. Blowouts occur across the globe and multisatellite observations can help to determine their pervasiveness, enable corrective action, and quantify their contribution to global methane budgets.

publications/frankenberg2011disentangling.qmd

@@ -1,5 +1,7 @@
 ---
-title: 'Disentangling chlorophyll fluorescence from atmospheric scattering effects in O<sub>2</sub>A-band spectra of reflected sun-light'
+title: 'Disentangling chlorophyll fluorescence from atmospheric scattering effects in O
+<sub>2</sub>
+A-band spectra of reflected sun-light'
 author: 'Frankenberg, C. and Butz, A. and Toon, G. C.'
 type: 'journal-article'
 year: 2011

publications/guanter2015potential.qmd

@@ -0,0 +1,16 @@
+---
+title: 'Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence'
+author: 'Guanter, L. and Aben, I. and Tol, P. and Krijger, J. M. and Hollstein, A. and Köhler, P. and Damm, A. and Joiner, J. and Frankenberg, C. and Landgraf, J.'
+type: 'journal-article'
+year: 2015
+publication: 'Atmospheric Measurement Techniques'
+doi: '10.5194/amt-8-1337-2015'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+Abstract. Global monitoring of sun-induced chlorophyll fluorescence (SIF) is improving our knowledge about the photosynthetic functioning of terrestrial ecosystems. The feasibility of SIF retrievals from spaceborne atmospheric spectrometers has been demonstrated by a number of studies in the last years. In this work, we investigate the potential of the upcoming TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor satellite mission for SIF retrieval. TROPOMI will sample the 675–775 nm spectral window with a spectral resolution of 0.5 nm and a pixel size of 7 km × 7 km. We use an extensive set of simulated TROPOMI data in order to assess the uncertainty of single SIF retrievals and subsequent spatio-temporal composites. Our results illustrate the enormous improvement in SIF monitoring achievable with TROPOMI with respect to comparable spectrometers currently in-flight, such as the Global Ozone Monitoring Experiment-2 (GOME-2) instrument. We find that TROPOMI can reduce global uncertainties in SIF mapping by more than a factor of 2 with respect to GOME-2, which comes together with an approximately 5-fold improvement in spatial sampling. Finally, we discuss the potential of TROPOMI to map other important vegetation parameters at a global scale with moderate spatial resolution and short revisit time. Those include leaf photosynthetic pigments and proxies for canopy structure, which will complement SIF retrievals for a self-contained description of vegetation condition and functioning.

publications/he2019atmospheric.qmd

@@ -13,4 +13,17 @@ toc: false
 
 ## Abstract
 
-AbstractLegislation in the State of California mandates reductions in emissions of short‐lived climate pollutants of 40% from 2013 levels by 2030 for CH<sub>4</sub>. Identification of the sector(s) responsible for these emissions and their temporal and spatial variability is a key step in achieving these goals. Here, we determine the emissions of CH<sub>4</sub> in Los Angeles from 2011–2017 using a mountaintop remote sensing mapping spectrometer. We show that the pattern of CH<sub>4</sub> emissions contains both seasonal and nonseasonal contributions. We find that the seasonal component peaks in the winter and is correlated (R<sub>2</sub> = 0.58) with utility natural gas consumption from the residential and commercial sectors and not from the industrial and gas‐fired power plant sectors. The nonseasonal component is (22.9 ± 1.4) Gg CH<sub>4</sub>/month. If the seasonal correlation is causal, about (1.4 ± 0.1)% of the commercial and residential natural gas consumption in Los Angeles is released into the atmosphere.
+Abstract
+
+Legislation in the State of California mandates reductions in emissions of short‐lived climate pollutants of 40% from 2013 levels by 2030 for CH
+4
+. Identification of the sector(s) responsible for these emissions and their temporal and spatial variability is a key step in achieving these goals. Here, we determine the emissions of CH
+4
+in Los Angeles from 2011–2017 using a mountaintop remote sensing mapping spectrometer. We show that the pattern of CH
+4
+emissions contains both seasonal and nonseasonal contributions. We find that the seasonal component peaks in the winter and is correlated (
+R
+2
+= 0.58) with utility natural gas consumption from the residential and commercial sectors and not from the industrial and gas‐fired power plant sectors. The nonseasonal component is (22.9 ± 1.4) Gg CH
+4
+/month. If the seasonal correlation is causal, about (1.4 ± 0.1)% of the commercial and residential natural gas consumption in Los Angeles is released into the atmosphere.

publications/he2020from.qmd

@@ -13,4 +13,12 @@ toc: false
 
 ## Abstract
 
-AbstractTimely and accurate monitoring of crops is essential for food security. Here, we examine how well solar‐induced chlorophyll fluorescence (SIF) can inform crop productivity across the United States. Based on tower‐level observations and process‐based modeling, we find highly linear gross primary production (GPP):SIF relationships for C<sub>4</sub> crops, while C<sub>3</sub> crops show some saturation of GPP at high light when SIF continues to increase. C<sub>4</sub> crops yield higher GPP:SIF ratios (30–50%) primarily because SIF is most sensitive to the light reactions (does not account for photorespiration). Scaling to the satellite, we compare SIF from the TROPOspheric Monitoring Instrument (TROPOMI) against tower‐derived GPP and county‐level crop statistics. Temporally, TROPOMI SIF strongly agrees with GPP observations upscaled across a corn and soybean dominated cropland (R<sub>2</sub> = 0.89). Spatially, county‐level TROPOMI SIF correlates with crop productivity (R<sub>2</sub> = 0.72; 0.86 when accounting for planted area and C<sub>3</sub>/C<sub>4</sub> contributions), highlighting the potential of SIF for reliable crop monitoring.
+Abstract
+
+Timely and accurate monitoring of crops is essential for food security. Here, we examine how well solar‐induced chlorophyll fluorescence (SIF) can inform crop productivity across the United States. Based on tower‐level observations and process‐based modeling, we find highly linear gross primary production (GPP):SIF relationships for C<sub>4</sub> crops, while C<sub>3</sub> crops show some saturation of GPP at high light when SIF continues to increase. C<sub>4</sub> crops yield higher GPP:SIF ratios (30–50%) primarily because SIF is most sensitive to the light reactions (does not account for photorespiration). Scaling to the satellite, we compare SIF from the TROPOspheric Monitoring Instrument (TROPOMI) against tower‐derived GPP and county‐level crop statistics. Temporally, TROPOMI SIF strongly agrees with GPP observations upscaled across a corn and soybean dominated cropland (
+R
+2
+= 0.89). Spatially, county‐level TROPOMI SIF correlates with crop productivity (
+R
+2
+= 0.72; 0.86 when accounting for planted area and C<sub>3</sub>/C<sub>4</sub> contributions), highlighting the potential of SIF for reliable crop monitoring.

publications/humphrey2021soil.qmd

@@ -13,4 +13,20 @@ toc: false
 
 ## Abstract
 
-AbstractYear-to-year changes in carbon uptake by terrestrial ecosystems have an essential role in determining atmospheric carbon dioxide concentrations1. It remains uncertain to what extent temperature and water availability can explain these variations at the global scale2–5. Here we use factorial climate model simulations6 and show that variability in soil moisture drives 90 per cent of the inter-annual variability in global land carbon uptake, mainly through its impact on photosynthesis. We find that most of this ecosystem response occurs indirectly as soil moisture–atmosphere feedback amplifies temperature and humidity anomalies and enhances the direct effects of soil water stress. The strength of this feedback mechanism explains why coupled climate models indicate that soil moisture has a dominant role4, which is not readily apparent from land surface model simulations and observational analyses2,5. These findings highlight the need to account for feedback between soil and atmospheric dryness when estimating the response of the carbon cycle to climatic change globally5,7, as well as when conducting field-scale investigations of the response of the ecosystem to droughts8,9. Our results show that most of the global variability in modelled land carbon uptake is driven by temperature and vapour pressure deficit effects that are controlled by soil moisture.
+Abstract
+
+Year-to-year changes in carbon uptake by terrestrial ecosystems have an essential role in determining atmospheric carbon dioxide concentrations
+1
+. It remains uncertain to what extent temperature and water availability can explain these variations at the global scale
+2–5
+. Here we use factorial climate model simulations
+6
+and show that variability in soil moisture drives 90 per cent of the inter-annual variability in global land carbon uptake, mainly through its impact on photosynthesis. We find that most of this ecosystem response occurs indirectly as soil moisture–atmosphere feedback amplifies temperature and humidity anomalies and enhances the direct effects of soil water stress. The strength of this feedback mechanism explains why coupled climate models indicate that soil moisture has a dominant role
+4
+, which is not readily apparent from land surface model simulations and observational analyses
+2,5
+. These findings highlight the need to account for feedback between soil and atmospheric dryness when estimating the response of the carbon cycle to climatic change globally
+5,7
+, as well as when conducting field-scale investigations of the response of the ecosystem to droughts
+8,9
+. Our results show that most of the global variability in modelled land carbon uptake is driven by temperature and vapour pressure deficit effects that are controlled by soil moisture.