Articles | Volume 18, issue 24
https://doi.org/10.5194/bg-18-6579-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-6579-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Dec 2021
Research article |
| 23 Dec 2021
| 23 Dec 2021
Extreme events driving year-to-year differences in gross primary productivity across the US
Department of Atmospheric Sciences, University of Washington, Seattle, WA 98195, USA
Philipp Köhler
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91226, USA
Troy S. Magney
Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
Christian Frankenberg
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91226, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Inez Fung
Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA 94720, USA
Ronald C. Cohen
Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA 94720, USA
College of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
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Ke Liu, Yujie Wang, Troy S. Magney, and Christian Frankenberg
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Milan Y. Patel, Pietro F. Vannucci, Jinsol Kim, William M. Berelson, and Ronald C. Cohen
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Clara M. Nussbaumer, Bryan K. Place, Qindan Zhu, Eva Y. Pfannerstill, Paul Wooldridge, Benjamin C. Schulze, Caleb Arata, Ryan Ward, Anthony Bucholtz, John H. Seinfeld, Allen H. Goldstein, and Ronald C. Cohen
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Eva Y. Pfannerstill, Caleb Arata, Qindan Zhu, Benjamin C. Schulze, Roy Woods, John H. Seinfeld, Anthony Bucholtz, Ronald C. Cohen, and Allen H. Goldstein
Atmos. Chem. Phys., 23, 12753–12780, https://doi.org/10.5194/acp-23-12753-2023, https://doi.org/10.5194/acp-23-12753-2023, 2023
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The San Joaquin Valley is an agricultural area with poor air quality. Organic gases drive the formation of hazardous air pollutants. Agricultural emissions of these gases are not well understood and have rarely been quantified at landscape scale. By combining aircraft-based emission measurements with land cover information, we found mis- or unrepresented emission sources. Our results help in understanding of pollution sources and in improving predictions of air quality in agricultural regions.
Qindan Zhu, Bryan Place, Eva Y. Pfannerstill, Sha Tong, Huanxin Zhang, Jun Wang, Clara M. Nussbaumer, Paul Wooldridge, Benjamin C. Schulze, Caleb Arata, Anthony Bucholtz, John H. Seinfeld, Allen H. Goldstein, and Ronald C. Cohen
Atmos. Chem. Phys., 23, 9669–9683, https://doi.org/10.5194/acp-23-9669-2023, https://doi.org/10.5194/acp-23-9669-2023, 2023
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Nitrogen oxide (NOx) is a hazardous air pollutant, and it is the precursor of short-lived climate forcers like tropospheric ozone and aerosol particles. While NOx emissions from transportation has been strictly regulated, soil NOx emissions are overlooked. We use the airborne flux measurements to observe NOx emissions from highways and urban and cultivated soil land cover types. We show non-negligible soil NOx emissions, which are significantly underestimated in current model simulations.
Vincent Humphrey and Christian Frankenberg
Biogeosciences, 20, 1789–1811, https://doi.org/10.5194/bg-20-1789-2023, https://doi.org/10.5194/bg-20-1789-2023, 2023
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Microwave satellites can be used to monitor how vegetation biomass changes over time or how droughts affect the world's forests. However, such satellite data are still difficult to validate and interpret because of a lack of comparable field observations. Here, we present a remote sensing technique that uses the Global Navigation Satellite System (GNSS) as a makeshift radar, making it possible to observe canopy transmissivity at any existing environmental research site in a cost-efficient way.
Xueying Yu, Dylan B. Millet, Daven K. Henze, Alexander J. Turner, Alba Lorente Delgado, A. Anthony Bloom, and Jianxiong Sheng
Atmos. Chem. Phys., 23, 3325–3346, https://doi.org/10.5194/acp-23-3325-2023, https://doi.org/10.5194/acp-23-3325-2023, 2023
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We combine satellite measurements with a novel downscaling method to map global methane emissions at 0.1°×0.1° resolution. These fine-scale emission estimates reveal unreported emission hotspots and shed light on the roles of agriculture, wetlands, and fossil fuels for regional methane budgets. The satellite-derived emissions point in particular to missing fossil fuel emissions in the Middle East and to a large emission underestimate in South Asia that appears to be tied to monsoon rainfall.
Chi Li, Randall V. Martin, Ronald C. Cohen, Liam Bindle, Dandan Zhang, Deepangsu Chatterjee, Hongjian Weng, and Jintai Lin
Atmos. Chem. Phys., 23, 3031–3049, https://doi.org/10.5194/acp-23-3031-2023, https://doi.org/10.5194/acp-23-3031-2023, 2023
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Amir H. Souri, Matthew S. Johnson, Glenn M. Wolfe, James H. Crawford, Alan Fried, Armin Wisthaler, William H. Brune, Donald R. Blake, Andrew J. Weinheimer, Tijl Verhoelst, Steven Compernolle, Gaia Pinardi, Corinne Vigouroux, Bavo Langerock, Sungyeon Choi, Lok Lamsal, Lei Zhu, Shuai Sun, Ronald C. Cohen, Kyung-Eun Min, Changmin Cho, Sajeev Philip, Xiong Liu, and Kelly Chance
Atmos. Chem. Phys., 23, 1963–1986, https://doi.org/10.5194/acp-23-1963-2023, https://doi.org/10.5194/acp-23-1963-2023, 2023
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We have rigorously characterized different sources of error in satellite-based HCHO / NO2 tropospheric columns, a widely used metric for diagnosing near-surface ozone sensitivity. Specifically, the errors were categorized/quantified into (i) an inherent chemistry error, (ii) the decoupled relationship between columns and the near-surface concentration, (iii) the spatial representativeness error of ground satellite pixels, and (iv) the satellite retrieval errors.
Viral Shah, Daniel J. Jacob, Ruijun Dang, Lok N. Lamsal, Sarah A. Strode, Stephen D. Steenrod, K. Folkert Boersma, Sebastian D. Eastham, Thibaud M. Fritz, Chelsea Thompson, Jeff Peischl, Ilann Bourgeois, Ilana B. Pollack, Benjamin A. Nault, Ronald C. Cohen, Pedro Campuzano-Jost, Jose L. Jimenez, Simone T. Andersen, Lucy J. Carpenter, Tomás Sherwen, and Mat J. Evans
Atmos. Chem. Phys., 23, 1227–1257, https://doi.org/10.5194/acp-23-1227-2023, https://doi.org/10.5194/acp-23-1227-2023, 2023
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NOx in the free troposphere (above 2 km) affects global tropospheric chemistry and the retrieval and interpretation of satellite NO2 measurements. We evaluate free tropospheric NOx in global atmospheric chemistry models and find that recycling NOx from its reservoirs over the oceans is faster than that simulated in the models, resulting in increases in simulated tropospheric ozone and OH. Over the U.S., free tropospheric NO2 contributes the majority of the tropospheric NO2 column in summer.
Helen L. Fitzmaurice and Ronald C. Cohen
Atmos. Chem. Phys., 22, 15403–15411, https://doi.org/10.5194/acp-22-15403-2022, https://doi.org/10.5194/acp-22-15403-2022, 2022
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We develop a novel method for finding heavy-duty vehicle (HDV) emission factors (g PM kg fuel) using regulatory sensor networks and publicly available traffic data. We find that particulate matter emission factors have decreased by a factor of ~ 9 in the past decade in the San Francisco Bay area. Because of the wide availability of similar data sets across the USA and globally, this method could be applied to other settings to understand long-term trends and regional differences in HDV emissions.
Yujie Wang and Christian Frankenberg
Biogeosciences, 19, 4705–4714, https://doi.org/10.5194/bg-19-4705-2022, https://doi.org/10.5194/bg-19-4705-2022, 2022
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Plant hydraulics is often misrepresented in topical research. We highlight the commonly seen ambiguities and/or mistakes, with equations and figures to help visualize the potential biases. We recommend careful thinking when using or modifying existing plant hydraulic terms, methods, and models.
Yujie Wang and Christian Frankenberg
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-172, https://doi.org/10.5194/bg-2022-172, 2022
Revised manuscript not accepted
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Leaf light absorption coefficient is often not measured along with leaf gas exchange, but assumed to be constant. This potentially causes biases in estimated photosynthetic capacity and modeled photosynthetic rates. We explored how leaf light absorption features and light source may impact the photosynthesis modeling, and found that the biases are dependent of model assumptions. Researchers need to be more cautious with these inaccurate assumptions in photosynthesis models.
Daniel J. Jacob, Daniel J. Varon, Daniel H. Cusworth, Philip E. Dennison, Christian Frankenberg, Ritesh Gautam, Luis Guanter, John Kelley, Jason McKeever, Lesley E. Ott, Benjamin Poulter, Zhen Qu, Andrew K. Thorpe, John R. Worden, and Riley M. Duren
Atmos. Chem. Phys., 22, 9617–9646, https://doi.org/10.5194/acp-22-9617-2022, https://doi.org/10.5194/acp-22-9617-2022, 2022
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We review the capability of satellite observations of atmospheric methane to quantify methane emissions on all scales. We cover retrieval methods, precision requirements, inverse methods for inferring emissions, source detection thresholds, and observations of system completeness. We show that current instruments already enable quantification of regional and national emissions including contributions from large point sources. Coverage and resolution will increase significantly in coming years.
Russell Doughty, Thomas P. Kurosu, Nicholas Parazoo, Philipp Köhler, Yujie Wang, Ying Sun, and Christian Frankenberg
Earth Syst. Sci. Data, 14, 1513–1529, https://doi.org/10.5194/essd-14-1513-2022, https://doi.org/10.5194/essd-14-1513-2022, 2022
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We describe and compare solar-induced chlorophyll fluorescence data produced by NASA from the Greenhouse Gases Observing Satellite (GOSAT) and the Orbiting Carbon Observatory-2 (OCO-2) and OCO-3 platforms.
Glenn M. Wolfe, Thomas F. Hanisco, Heather L. Arkinson, Donald R. Blake, Armin Wisthaler, Tomas Mikoviny, Thomas B. Ryerson, Ilana Pollack, Jeff Peischl, Paul O. Wennberg, John D. Crounse, Jason M. St. Clair, Alex Teng, L. Gregory Huey, Xiaoxi Liu, Alan Fried, Petter Weibring, Dirk Richter, James Walega, Samuel R. Hall, Kirk Ullmann, Jose L. Jimenez, Pedro Campuzano-Jost, T. Paul Bui, Glenn Diskin, James R. Podolske, Glen Sachse, and Ronald C. Cohen
Atmos. Chem. Phys., 22, 4253–4275, https://doi.org/10.5194/acp-22-4253-2022, https://doi.org/10.5194/acp-22-4253-2022, 2022
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Smoke plumes are chemically complex. This work combines airborne observations of smoke plume composition with a photochemical model to probe the production of ozone and the fate of reactive gases in the outflow of a large wildfire. Model–measurement comparisons illustrate how uncertain emissions and chemical processes propagate into simulated chemical evolution. Results provide insight into how this system responds to perturbations, which can help guide future observation and modeling efforts.
Johannes Gensheimer, Alexander J. Turner, Philipp Köhler, Christian Frankenberg, and Jia Chen
Biogeosciences, 19, 1777–1793, https://doi.org/10.5194/bg-19-1777-2022, https://doi.org/10.5194/bg-19-1777-2022, 2022
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We develop a convolutional neural network, named SIFnet, that increases the spatial resolution of SIF from TROPOMI by a factor of 10 to a spatial resolution of 0.005°. SIFnet utilizes coarse SIF observations, together with a broad range of high-resolution auxiliary data. The insights gained from interpretable machine learning techniques allow us to make quantitative claims about the relationships between SIF and other common parameters related to photosynthesis.
Helen L. Fitzmaurice, Alexander J. Turner, Jinsol Kim, Katherine Chan, Erin R. Delaria, Catherine Newman, Paul Wooldridge, and Ronald C. Cohen
Atmos. Chem. Phys., 22, 3891–3900, https://doi.org/10.5194/acp-22-3891-2022, https://doi.org/10.5194/acp-22-3891-2022, 2022
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On-road emissions are thought to vary widely from existing predictions, as the effects of the age of the vehicle fleet, the performance of emission control systems, and variations in speed are difficult to assess under ambient driving conditions. We present an observational approach to characterize on-road emissions and show that the method is consistent with other approaches to within ~ 3 %.
Douglas A. Day, Pedro Campuzano-Jost, Benjamin A. Nault, Brett B. Palm, Weiwei Hu, Hongyu Guo, Paul J. Wooldridge, Ronald C. Cohen, Kenneth S. Docherty, J. Alex Huffman, Suzane S. de Sá, Scot T. Martin, and Jose L. Jimenez
Atmos. Meas. Tech., 15, 459–483, https://doi.org/10.5194/amt-15-459-2022, https://doi.org/10.5194/amt-15-459-2022, 2022
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Particle-phase nitrates are an important component of atmospheric aerosols and chemistry. In this paper, we systematically explore the application of aerosol mass spectrometry (AMS) to quantify the organic and inorganic nitrate fractions of aerosols in the atmosphere. While AMS has been used for a decade to quantify nitrates, methods are not standardized. We make recommendations for a more universal approach based on this analysis of a large range of field and laboratory observations.
Yujie Wang and Christian Frankenberg
Biogeosciences, 19, 29–45, https://doi.org/10.5194/bg-19-29-2022, https://doi.org/10.5194/bg-19-29-2022, 2022
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Modeling vegetation canopy is important in predicting whether the land remains a carbon sink to mitigate climate change in the near future. Vegetation canopy model complexity, however, impacts the model-predicted carbon and water fluxes as well as canopy fluorescence, even if the same suite of model inputs is used. Given the biases caused by canopy model complexity, we recommend not misusing parameters inverted using different models or assumptions.
Siraput Jongaramrungruang, Georgios Matheou, Andrew K. Thorpe, Zhao-Cheng Zeng, and Christian Frankenberg
Atmos. Meas. Tech., 14, 7999–8017, https://doi.org/10.5194/amt-14-7999-2021, https://doi.org/10.5194/amt-14-7999-2021, 2021
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This study shows how precision error and bias in column methane retrieval change with different instrument specifications and the impact of spectrally complex surface albedos on retrievals. We show how surface interferences can be mitigated with an optimal spectral resolution and a higher polynomial degree in a retrieval process. The findings can inform future satellite instrument designs to have robust observations capable of separating real CH4 plume enhancements from surface interferences.
Luis Guanter, Cédric Bacour, Andreas Schneider, Ilse Aben, Tim A. van Kempen, Fabienne Maignan, Christian Retscher, Philipp Köhler, Christian Frankenberg, Joanna Joiner, and Yongguang Zhang
Earth Syst. Sci. Data, 13, 5423–5440, https://doi.org/10.5194/essd-13-5423-2021, https://doi.org/10.5194/essd-13-5423-2021, 2021
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Sun-induced chlorophyll fluorescence (SIF) is an electromagnetic signal emitted by plants in the red and far-red parts of the spectrum. It has a functional link to photosynthesis and can be measured by satellite instruments, which makes it an important variable for the remote monitoring of the photosynthetic activity of vegetation ecosystems around the world. In this contribution we present a SIF dataset derived from the new Sentinel-5P TROPOMI missions.
Yujie Wang, Philipp Köhler, Liyin He, Russell Doughty, Renato K. Braghiere, Jeffrey D. Wood, and Christian Frankenberg
Geosci. Model Dev., 14, 6741–6763, https://doi.org/10.5194/gmd-14-6741-2021, https://doi.org/10.5194/gmd-14-6741-2021, 2021
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We present the first step in testing a new land model as part of a new Earth system model. Our model links plant hydraulics, stomatal optimization theory, and a comprehensive canopy radiation scheme. We compared model-predicted carbon and water fluxes to flux tower observations and model-predicted sun-induced chlorophyll fluorescence to satellite retrievals. Our model quantitatively predicted the carbon and water fluxes as well as the canopy fluorescence yield.
Xiaomeng Jin, Qindan Zhu, and Ronald C. Cohen
Atmos. Chem. Phys., 21, 15569–15587, https://doi.org/10.5194/acp-21-15569-2021, https://doi.org/10.5194/acp-21-15569-2021, 2021
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We describe direct estimates of NOx emissions and lifetimes for biomass burning plumes using daily TROPOMI retrievals of NO2. Satellite-derived NOx emission factors are consistent with those from in situ measurements. We observe decreasing NOx lifetime with fire intensity, which is due to the increase in NOx abundance and radical production. Our findings suggest promise for applying space-based observations to track the emissions and chemical evolution of reactive nitrogen from wildfires.
Yi Yin, Frederic Chevallier, Philippe Ciais, Philippe Bousquet, Marielle Saunois, Bo Zheng, John Worden, A. Anthony Bloom, Robert J. Parker, Daniel J. Jacob, Edward J. Dlugokencky, and Christian Frankenberg
Atmos. Chem. Phys., 21, 12631–12647, https://doi.org/10.5194/acp-21-12631-2021, https://doi.org/10.5194/acp-21-12631-2021, 2021
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The growth of methane, the second-most important anthropogenic greenhouse gas after carbon dioxide, has been accelerating in recent years. Using an ensemble of multi-tracer atmospheric inversions constrained by surface or satellite observations, we show that global methane emissions increased by nearly 1 % per year from 2010–2017, with leading contributions from the tropics and East Asia.
Erin R. Delaria, Jinsol Kim, Helen L. Fitzmaurice, Catherine Newman, Paul J. Wooldridge, Kevin Worthington, and Ronald C. Cohen
Atmos. Meas. Tech., 14, 5487–5500, https://doi.org/10.5194/amt-14-5487-2021, https://doi.org/10.5194/amt-14-5487-2021, 2021
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The use of a dense network of low-cost CO2 sensors is an attractive option for measuring CO2 emissions in cities. However, these low-cost sensors are also subject to uncertainties. Here, we describe a novel method of field calibration for correcting temperature-related errors in the CO2 sensors deployed in the BEACO2N network. We show that with this temperature correction, we can achieve a sufficiently low network error to allow for the evaluation of CO2 emissions at a neighborhood scale.
Xueling Liu, Arthur P. Mizzi, Jeffrey L. Anderson, Inez Fung, and Ronald C. Cohen
Atmos. Chem. Phys., 21, 9573–9583, https://doi.org/10.5194/acp-21-9573-2021, https://doi.org/10.5194/acp-21-9573-2021, 2021
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Observations of winds in the planetary boundary layer remain sparse, making it challenging to simulate and predict the atmospheric conditions that are most important for describing and predicting urban air quality. Here we investigate the application of data assimilation of NO2 columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.
Jakob Borchardt, Konstantin Gerilowski, Sven Krautwurst, Heinrich Bovensmann, Andrew K. Thorpe, David R. Thompson, Christian Frankenberg, Charles E. Miller, Riley M. Duren, and John Philip Burrows
Atmos. Meas. Tech., 14, 1267–1291, https://doi.org/10.5194/amt-14-1267-2021, https://doi.org/10.5194/amt-14-1267-2021, 2021
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The AVIRIS-NG hyperspectral imager has been used successfully to identify and quantify anthropogenic methane sources utilizing different retrieval and inversion methods. Here, we examine the adaption and application of the WFM-DOAS algorithm to AVIRIS-NG measurements to retrieve local methane column enhancements, compare the results with other retrievals, and quantify the uncertainties resulting from the retrieval method. Additionally, we estimate emissions from five detected methane plumes.
Cited articles
Badgley, G., Field, C. B., and Berry, J. A.: Canopy near-infrared reflectance
and terrestrial photosynthesis, Sci. Adv., 3, e1602244,
https://doi.org/10.1126/sciadv.1602244, 2017. a
Badgley, G., Anderegg, L. D. L., Berry, J. A., and Field, C. B.: Terrestrial
Gross Primary Production: Using NIRV to Scale from Site to Globe, Glob.
Change Biol., 25, 3731–3740, https://doi.org/10.1111/gcb.14729, 2019. a, b
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S.,
Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A.,
Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W.,
Paw, K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala,
T., Wilson, K., and Wofsy, S.: FLUXNET: A New Tool to Study the Temporal and
Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and
Energy Flux Densities, Bull. Am. Meteorol. Soc., 82,
2415–2434, https://doi.org/10.1175/1520-0477(2001)082<2415:fantts>2.3.co;2, 2001. a
Baldocchi, D. D., Hicks, B. B., and Meyers, T. P.: Measuring
Biosphere-Atmosphere Exchanges of Biologically Related Gases with
Micrometeorological Methods, Ecology, 69, 1331–1340, https://doi.org/10.2307/1941631,
1988. a
Butterfield, Z., Buermann, W., and Keppel-Aleks, G.: Satellite observations
reveal seasonal redistribution of northern ecosystem productivity in response
to interannual climate variability, Remote Sens. Environ., 242,
111755, https://doi.org/10.1016/j.rse.2020.111755, 2020. a
Dechant, B., Ryu, Y., Badgley, G., Zeng, Y., Berry, J. A., Zhang, Y., Goulas,
Y., Li, Z., Zhang, Q., Kang, M., Li, J., and Moya, I.: Canopy structure
explains the relationship between photosynthesis and sun-induced chlorophyll
fluorescence in crops, Remote Sens. Environ., 241, 111733,
https://doi.org/10.1016/j.rse.2020.111733, 2020. a
Frankenberg, C., Butz, A., and Toon, G. C.: Disentangling chlorophyll
fluorescence from atmospheric scattering effects in O2A-band spectra of
reflected sun-light, Geophys. Res. Lett., 38, L03801,
https://doi.org/10.1029/2010gl045896, 2011a. a, b
Frankenberg, C., Fisher, J. B., Worden, J., Badgley, G., Saatchi, S. S., Lee,
J.-E., Toon, G. C., Butz, A., Jung, M., Kuze, A., and Yokota, T.: New global
observations of the terrestrial carbon cycle from GOSAT: Patterns of plant
fluorescence with gross primary productivity, Geophys. Res. Lett., 38, L17706,
https://doi.org/10.1029/2011gl048738, 2011b. a, b
Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J. A.,
Frankenberg, C., Huete, A. R., Zarco-Tejada, P., Lee, J. E., Moran, M. S.,
Ponce-Campos, G., Beer, C., Camps-Valls, G., Buchmann, N., Gianelle, D.,
Klumpp, K., Cescatti, A., Baker, J. M., and Griffis, T. J.: Global and
time-resolved monitoring of crop photosynthesis with chlorophyll
fluorescence, P. Natl. Acad. Sci. USA, 111, E1327–E1333, https://doi.org/10.1073/pnas.1320008111, 2014. a
He, L., Magney, T., Dutta, D., Yin, Y., Köhler, P., Grossmann, K., Stutz,
J., Dold, C., Hatfield, J., Guan, K., Peng, B., and Frankenberg, C.: From
the Ground to Space: Using Solar-Induced Chlorophyll Fluorescence to Estimate
Crop Productivity, Geophys. Res. Lett., 47, e2020GL087474,
https://doi.org/10.1029/2020gl087474, 2020. a, b
Joiner, J. and Yoshida, Y.: Satellite-based reflectances capture large
fraction of variability in global gross primary production (GPP) at weekly
time scales, Agr. Forest Meteorol., 291, 108092,
https://doi.org/10.1016/j.agrformet.2020.108092, 2020. a, b
Jung, M., Schwalm, C., Migliavacca, M., Walther, S., Camps-Valls, G., Koirala,
S., Anthoni, P., Besnard, S., Bodesheim, P., Carvalhais, N., Chevallier, F.,
Gans, F., Goll, D. S., Haverd, V., Köhler, P., Ichii, K., Jain, A. K.,
Liu, J., Lombardozzi, D., Nabel, J. E. M. S., Nelson, J. A., O'Sullivan, M.,
Pallandt, M., Papale, D., Peters, W., Pongratz, J., Rödenbeck, C., Sitch,
S., Tramontana, G., Walker, A., Weber, U., and Reichstein, M.: Scaling carbon
fluxes from eddy covariance sites to globe: synthesis and evaluation of the
FLUXCOM approach, Biogeosciences, 17, 1343–1365,
https://doi.org/10.5194/bg-17-1343-2020, 2020. a
Köhler, P., Frankenberg, C., Magney, T. S., Guanter, L., Joiner, J., and
Landgraf, J.: Global Retrievals of Solar-Induced Chlorophyll Fluorescence
With TROPOMI: First Results and Intersensor Comparison to OCO-2, Geophys.
Res. Lett., 45, 10456–10463, https://doi.org/10.1029/2018gl079031, 2018. a, b
Le Quéré, C., Andrew, R. M., Friedlingstein, P., Sitch, S., Hauck, J.,
Pongratz, J., Pickers, P. A., Korsbakken, J. I., Peters, G. P., Canadell,
J. G., Arneth, A., Arora, V. K., Barbero, L., Bastos, A., Bopp, L.,
Chevallier, F., Chini, L. P., Ciais, P., Doney, S. C., Gkritzalis, T., Goll,
D. S., Harris, I., Haverd, V., Hoffman, F. M., Hoppema, M., Houghton, R. A.,
Hurtt, G., Ilyina, T., Jain, A. K., Johannessen, T., Jones, C. D., Kato, E.,
Keeling, R. F., Goldewijk, K. K., Landschützer, P., Lefévre, N.,
Lienert, S., Liu, Z., Lombardozzi, D., Metzl, N., Munro, D. R., Nabel, J. E.
M. S., Nakaoka, S.-i., Neill, C., Olsen, A., Ono, T., Patra, P., Peregon, A.,
Peters, W., Peylin, P., Pfeil, B., Pierrot, D., Poulter, B., Rehder, G.,
Resplandy, L., Robertson, E., Rocher, M., Rödenbeck, C., Schuster, U.,
Schwinger, J., Séférian, R., Skjelvan, I., Steinhoff, T., Sutton, A.,
Tans, P. P., Tian, H., Tilbrook, B., Tubiello, F. N., van der Laan-Luijkx,
I. T., van der Werf, G. R., Viovy, N., Walker, A. P., Wiltshire, A. J.,
Wright, R., Zaehle, S., and Zheng, B.: Global Carbon Budget 2018, Earth
Syst. Sci. Data, 10, 2141–2194, https://doi.org/10.5194/essd-10-2141-2018, 2018. a
Lee, J. E., Frankenberg, C., van der Tol, C., Berry, J. A., Guanter, L., Boyce,
C. K., Fisher, J. B., Morrow, E., Worden, J. R., Asefi, S., Badgley, G., and
Saatchi, S.: Forest productivity and water stress in Amazonia: observations
from GOSAT chlorophyll fluorescence, Proc. Biol. Sci., 280, 20130171,
https://doi.org/10.1098/rspb.2013.0171, 2013. a
Magney, T. S., Bowling, D. R., Logan, B. A., Grossmann, K., Stutz, J., Blanken,
P. D., Burns, S. P., Cheng, R., Garcia, M. A., Köhler, P., Lopez, S.,
Parazoo, N. C., Raczka, B., Schimel, D., and Frankenberg, C.: Mechanistic
evidence for tracking the seasonality of photosynthesis with solar-induced
fluorescence, P. Natl. Acad. Sci. USA, 116, 11640–11645, https://doi.org/10.1073/pnas.1900278116,
2019. a, b
Magney, T. S., Barnes, M. L., and Yang, X.: On the Covariation of Chlorophyll
Fluorescence and Photosynthesis Across Scales, Geophys. Res. Lett.,
47, e2020GL091098, https://doi.org/10.1029/2020gl091098, 2020. a
Maguire, A. J., Eitel, J. U. H., Griffin, K. L., Magney, T. S., Long, R. A.,
Vierling, L. A., Schmiege, S. C., Jennewein, J. S., Weygint, W. A., Boelman,
N. T., and Bruner, S. G.: On the Functional Relationship Between
Fluorescence and Photochemical Yields in Complex Evergreen Needleleaf
Canopies, Geophys. Res. Lett., 47, e2020GL087858, https://doi.org/10.1029/2020gl087858,
2020. a
Marrs, J. K., Reblin, J. S., Logan, B. A., Allen, D. W., Reinmann, A. B.,
Bombard, D. M., Tabachnik, D., and Hutyra, L. R.: Solar-Induced Fluorescence
Does Not Track Photosynthetic Carbon Assimilation Following Induced Stomatal
Closure, Geophys. Res. Lett., 47, e2020GL087956, https://doi.org/10.1029/2020gl087956, 2020. a
Monteith, J. L.: Solar Radiation and Productivity in Tropical Ecosystems,
J. Appl. Ecol., 9, 747–766, 1972. a
Parazoo, N. C., Bowman, K., Fisher, J. B., Frankenberg, C., Jones, D. B.,
Cescatti, A., Perez-Priego, O., Wohlfahrt, G., and Montagnani, L.:
Terrestrial gross primary production inferred from satellite fluorescence
and vegetation models, Glob. Change Biol., 20, 3103–21,
https://doi.org/10.1111/gcb.12652, 2014. a
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier,
P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grunwald, T.,
Havrankova, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila,
A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J.-M.,
Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G.,
Vaccari, F., Vesala, T., Yakir, D., and Valentini, R.: On the separation of
net ecosystem exchange into assimilation and ecosystem respiration: review
and improved algorithm, Glob. Change Biol., 11, 1424–1439,
https://doi.org/10.1111/j.1365-2486.2005.001002.x, 2005. a
Schaaf, C. B., Gao, F., Strahler, A. H., Lucht, W., Li, X., Tsang, T.,
Strugnell, N. C., Zhang, X., Jin, Y., Muller, J.-P., Lewis, P., Barnsley, M.,
Hobson, P., Disney, M., Roberts, G., Dunderdale, M., Doll, C., d'Entremont,
R. P., Hu, B., Liang, S., Privette, J. L., and Roy, D.: First operational
BRDF, albedo nadir reflectance products from MODIS, Remote Sens.
Environ., 83, 135–148, https://doi.org/10.1016/s0034-4257(02)00091-3, 2002. a
Sellers, P. J.: Canopy reflectance, photosynthesis and transpiration,
Int. J. Remote Sens., 6, 1335–1372,
https://doi.org/10.1080/01431168508948283, 1985. a
Sims, D. A., Brzostek, E. R., Rahman, A. F., Dragoni, D., and Phillips, R. P.:
An improved approach for remotely sensing water stress impacts on forest C
uptake, Glob. Change Biol., 20, 2856–2866, https://doi.org/10.1111/gcb.12537,
2014. a
Smith, W. K., Dannenberg, M. P., Yan, D., Herrmann, S., Barnes, M. L.,
Barron-Gafford, G. A., Biederman, J. A., Ferrenberg, S., Fox, A. M., Hudson,
A., Knowles, J. F., MacBean, N., Moore, D. J. P., Nagler, P. L., Reed, S. C.,
Rutherford, W. A., Scott, R. L., Wang, X., and Yang, J.: Remote sensing of
dryland ecosystem structure and function: Progress, challenges, and
opportunities, Remote Sens. Environ., 233, 111401,
https://doi.org/10.1016/j.rse.2019.111401, 2019. a
Sun, Y., Fu, R., Dickinson, R., Joiner, J., Frankenberg, C., Gu, L., Xia, Y.,
and Fernando, N.: Drought onset mechanisms revealed by satellite
solar-induced chlorophyll fluorescence: Insights from two contrasting extreme
events, J. Geophys. Res.-Biogeo., 120, 2427–2440,
https://doi.org/10.1002/2015jg003150, 2015. a
Sun, Y., Frankenberg, C., Wood, J. D., Schimel, D. S., Jung, M., Guanter, L.,
Drewry, D. T., Verma, M., Porcar-Castell, A., Griffis, T. J., Gu, L., Magney,
T. S., Kohler, P., Evans, B., and Yuen, K.: OCO-2 advances photosynthesis
observation from space via solar-induced chlorophyll fluorescence, Science,
358, eaam5747, https://doi.org/10.1126/science.aam5747, 2017. a, b, c
Sun, Y., Frankenberg, C., Jung, M., Joiner, J., Guanter, L., Köhler, P.,
and Magney, T.: Overview of Solar-Induced chlorophyll Fluorescence (SIF)
from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison,
and global monitoring for GPP, Remote Sens. Environ., 209, 808–823,
https://doi.org/10.1016/j.rse.2018.02.016, 2018. a
Turner, A. J. and Jacob, D. J.: Balancing aggregation and smoothing errors in
inverse models, Atmos. Chem. Phys., 15, 7039–7048,
https://doi.org/10.5194/acp-15-7039-2015, 2015. a, b
Turner, A. J., Koehler, P., Magney, T., Frankenberg, C., Fung, I., and Cohen, R. C.: CMS: Daily Gross Primary Productivity over CONUS from TROPOMI SIF, 2018–2020, ORNL DAAC [data set], Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/1875, 2021. a
USDA: National Agricultural Statistics Service Cropland Data Layer:
Published crop-specific data layer,
available at: https://nassgeodata.gmu.edu/CropScape/ (last access: 27 July 2021), 2018. a
Veefkind, J. P., Aben, I., McMullan, K., Förster, H., de Vries, J., Otter,
G., Claas, J., Eskes, H. J., de Haan, J. F., Kleipool, Q., van Weele, M.,
Hasekamp, O., Hoogeveen, R., Landgraf, J., Snel, R., Tol, P., Ingmann, P.,
Voors, R., Kruizinga, B., Vink, R., Visser, H., and Levelt, P. F.: TROPOMI
on the ESA Sentinel-5 Precursor: A GMES mission for global observations of
the atmospheric composition for climate, air quality and ozone layer
applications, Proc SPIE, 120, 70–83, https://doi.org/10.1016/j.rse.2011.09.027, 2012. a
Wang, X., Dannenberg, M. P., Yan, D., Jones, M. O., Kimball, J. S., Moore, D.
J. P., Leeuwen, W. J. D., Didan, K., and Smith, W. K.: Globally Consistent
Patterns of Asynchrony in Vegetation Phenology Derived From Optical,
Microwave, and Fluorescence Satellite Data, J. Geophys. Res.-Biogeo., 125, e2020JG005732, https://doi.org/10.1029/2020jg005732, 2020. a
Yang, H., Yang, X., Zhang, Y., Heskel, M. A., Lu, X., Munger, J. W., Sun, S.,
and Tang, J.: Chlorophyll fluorescence tracks seasonal variations of
photosynthesis from leaf to canopy in a temperate forest, Glob. Change
Biol., 23, 2874–2886, https://doi.org/10.1111/gcb.13590, 2017. a, b
Yang, X., Tang, J., Mustard, J. F., Lee, J.-E., Rossini, M., Joiner, J.,
Munger, J. W., Kornfeld, A., and Richardson, A. D.: Solar-induced
chlorophyll fluorescence that correlates with canopy photosynthesis on
diurnal and seasonal scales in a temperate deciduous forest, Geophys.
Res. Lett., 42, 2977–2987, https://doi.org/10.1002/2015gl063201, 2015.
a, b, c
Yao, J., Liu, H., Huang, J., Gao, Z., Wang, G., Li, D., Yu, H., and Chen, X.:
Accelerated dryland expansion regulates future variability in dryland gross
primary production, Nat. Commun., 11, 1665,
https://doi.org/10.1038/s41467-020-15515-2, 2020. a
Yin, Y., Byrne, B., Liu, J., Wennberg, P. O., Davis, K. J., Magney, T.,
Köhler, P., He, L., Jeyaram, R., Humphrey, V., Gerken, T., Feng, S.,
Digangi, J. P., and Frankenberg, C.: Cropland Carbon Uptake Delayed and
Reduced by 2019 Midwest Floods, AGU Advances, 1, e2019AV000140, https://doi.org/10.1029/2019av000140,
2020. a, b, c, d
Short summary
This work builds a high-resolution estimate (500 m) of gross primary productivity (GPP) over the US using satellite measurements of solar-induced chlorophyll fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI) between 2018 and 2020. We identify ecosystem-specific scaling factors for estimating gross primary productivity (GPP) from TROPOMI SIF. Extreme precipitation events drive four regional GPP anomalies that account for 28 % of year-to-year GPP differences across the US.
This work builds a high-resolution estimate (500 m) of gross primary productivity (GPP) over the...
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