December 2023

Greening of human-dominated ecosystems in India Park, T., Gumma, M.K., Wang, W., Panjala, P., Dubey, K.S., Nemani, R.R. 2023. Greening of human-dominated ecosystems in India. Communications Earth & Environment 4, 419, 11pp. DOI: 10.1038/s43247-023-01078-9

Climate change impacts on bird migration and highly pathogenic avian influenza Prosser, D.J., Teitelbaum, C.S., Yin, S., Hill, N.J., Xiao, X. (2023). Nature Microbiology 8: 2223-2225. DOI: 10.1038/s41564-023-01538-0

November 2023

Remote Sensing of Snow Parameters: A Sensitivity Study of Retrieval Performance Based on Hyperspectral versus Multispectral Data Pachniak, E., Li, W., Tanikawa, T., Gatebe, C. and Stamnes, K., 2023. Remote Sensing of Snow Parameters: A Sensitivity Study of Retrieval Performance Based on Hyperspectral versus Multispectral Data. Algorithms, 16(10):493, 15pp. DOI: 10.3390/a16100493

Structural complexity biases vegetation greenness measures Zeng, Y., Hao, D., Park, T., Zhu, P., Huete, A., Myneni, R., Knyazikhin, Y., Qi, J., Nemani, R.R., Li, F. and Huang, J., 2023. Structural complexity biases vegetation greenness measures. Nature Ecology & Evolution 7:1790-1798. DOI: 10.1038/s41559-023-02187-6

Crop Residue burning from high-resolution satellite imagery and PM2.5 dispersion: A case study of Mississippi County, Arkansas, USA Zamanialaei, M., Shew, A. M., Fain, J.J., Borkowski, A., and McCarty, J.L. 2023. Crop Residue burning from high-resolution satellite imagery and PM2.5 dispersion: A case study of Mississippi County, Arkansas, USA. Sustainable Environment 9:1 DOI: 10.1080/27658511.2023.2274646

Biomass-burning smoke’s properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns Howes, C., Saide, P. E., Coe, H., Dobracki, A., Freitag, S., Haywood, J. M., Howell, S. G., Gupta, S., Uin, J., Kacarab, M., Kuang, C., Leung, L. R., Nenes, A., McFarquhar, G. M., Podolske, J., Redemann, J., Sedlacek, A. J., Thornhill, K. L., Wong, J. P. S., Wood, R., Wu, H., Zhang, Y., Zhang, J., and Zuidema, P. (2023): Biomass-burning smoke’s properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns, Atmos. Chem. Phys. 23, 13911–13940. DOI: 10.5194/acp-23-13911-2023

Remote sensing determination of evapotranspiration – Algorithms, strengths and weaknesses, uncertainty, and best fit-for-purpose Steduto, P., Allen, R., Kilic, A., Crago R., …Melton, F., et al. (2023). Remote sensing determination of evapotranspiration – Algorithms, strengths and weaknesses, uncertainty, and best fit-for-purpose. Food and Agriculture Organization of the United Nations, Cairo (Egypt), 162 pp. ISBN: 978-92-5-138242-4 DOI: 10.4060/cc8150en

Modelling considerations for research on ocean alkalinity enhancement (OAE) Fennel, K., Long, M. C., Algar, C., Carter, B., Keller, D., Laurent, A., Mattern, J. P., Musgrave, R., Oschlies, A., Ostiguy, J., Palter, J. B., and Whitt, D. B.: Modelling considerations for research on ocean alkalinity enhancement (OAE), in: Guide to Best Practices in Ocean Alkalinity Enhancement Research, edited by: Oschlies, A., Stevenson, A., Bach, L. T., Fennel, K., Rickaby, R. E. M., Satterfield, T., Webb, R., and Gattuso, J.-P., Copernicus Publications, State Planet, 2-oae2023, 9, pp. DOI: 10.5194/sp-2-oae2023-9-2023

October 2023

The Estimated Climate Impact of the Hunga Tonga-Hunga Ha’apai Eruption Plume Schoeberl, M.R., Wang, Y., Ueyama, R., Dessler, A., Taha, G. and Yu, W., 2023. The Estimated Climate Impact of the Hunga Tonga‐Hunga Ha’apai Eruption Plume. Geophysical Research Letters, 50(18), p.e2023GL104634.

Extreme Altitudes of Stratospheric Hydration by Midlatitude Convection Observed During the DCOTSS Field Campaign Homeyer, C.R., Smith, J.B., Bedka, K.M., Bowman, K.P., Wilmouth, D.M., Ueyama, R., Dean‐Day, J.M., St. Clair, J.M., Hannun, R., Hare, J. and Pandey, A., 2023. Extreme altitudes of stratospheric hydration by midlatitude convection observed during the DCOTSS field campaign. Geophysical Research Letters, 50(18), p.e2023GL104914.

Global warming increases interannual and multidecadal variability of Subarctic Atlantic nutrients and biological production in the CESM1-LE Whitt, D. B. (2023). Global warming increases interannual and multidecadal variability of Subarctic Atlantic nutrients and biological production in the CESM1-LE. Geophysical Research Letters, 50(19), e2023GL104272, 12pp. DOI: 10.1016/j.dib.2023.109581

Synergies Between NASA’s Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for New Science and Applications Dierssen, H.M., Gierach, M., Guild, L.S., Mannino, A., Salisbury, J., Uz, S.S., Scott, J., Townsend, P.A., Turpie, K., Tzortziou, M. and Urquhart, E., Vandermeulen, R., Werdell, P.J. (2023). Synergies between NASA’s Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for new science and applications. Journal of Geophysical Research: Biogeosciences 128(10): e2023JG007574, 22p. DOI: /10.1029/2023JG007574

September 2023

An observation-based, reduced-form model for oxidation in the remote marine troposphere Baublitz, C.B., Fiore, A.M., Ludwig, S.M., Nicely, J.M., Wolfe, G.M., Murray, L.T., Commane, R., Prather, M.J., Anderson, D.C., Correa, G., Duncan, B.N., Follette-Cook, M., Westerveld, D.M., Bourgeois, I., Brune, W.H., Bui, T.P., DiGangi, J.P., Diskin, G.S., Hall, S.R., McKain, K., Miller, D.O., Peischl, J., Thames, A.B., Thompson, C.R., Ullmann, K., Wofsy, S.C. (2023). An observation-based, reduced-form model for oxidation in the remote marine troposphere. Proceedings of the National Academy of Sciences, 120(34), p.e2209735120. DOI: 10.1073/pnas.2209735120

Linking lidar multiple scattering profiles to snow depth and snow density: an analytical radiative transfer analysis and the implications for remote sensing of snow Hu Y, Lu X, Zeng X, Gatebe C, Fu Q, Yang P, Weimer C, Stamnes S, Baize R, Omar A, Creary G, Ashraf A, Stamnes K and Huang Y. Frontiers (2023) DOI: 10.3389/frsen.2023.1202234

State of the Climate in 2022 D. L. Hemming, D.L., Anneville, O., Aono Y., Crimmins T., Estrella N., Menzel A., Mrekaj I., O’Keefe J., Park T., Richardson A.D., Rozkošný J., Rutishauser T., Sparks T.H., Thackeray S.J., van Vliet A.J.H. and F. West, 2023: Land Surface Processes: Phenology of Primary Producers: [in “State of the Climate in 2022”]. Bull. Amer. Meteor. Soc., 104 (9), S107–S112 DOI: 10.1175/BAMS-D-23-0090.1

North American wintering mallards infected with highly pathogenic avian influenza show few signs of altered local or migratory movements. Teitelbaum, C.S., N.M. Masto, J.D. Sullivan, A.C. Keever, R.L. Poulson, D.L. Carter, A.G. Blake-Bradshaw, C.J. Highway, J.C. Feddersen, H.M. Hagy, and R.W. Gerhold. 2023. North American wintering mallards infected with highly pathogenic avian influenza show few signs of altered local or migratory movements. Scientific Reports 13:14473, 11pp. DOI: 10.1038/s41598-023-40921-z

Determining the Spectral Requirements for Cyanobacteria Detection for the CyanoSat Hyperspectral Imager with Machine Learning. Matthews M.W., Kravitz J., Pease J., and Gensemer S. 2023. Determining the Spectral Requirements for Cyanobacteria Detection for the CyanoSat Hyperspectral Imager with Machine Learning. Sensors. 23(18):7800, 14pp. DOI: 10.3390/s23187800

Calibration and Validation for the Surface Biology and Geology (SBG) Mission Concept: Recommendations for a Multi-Sensor System for Imaging Spectroscopy and Thermal Imagery. Turpie, K.R., Casey, K.A., Crawford, C.J., Guild, L.S., Kieffer, H., Lin, G.G., Kokaly, R., Shrestha, A.K., Anderson, C., Ramaseri Chandra, S.N. and Green, R., 2023. Calibration and Validation for the Surface Biology and Geology (SBG) Mission Concept: Recommendations for a Multi‐Sensor System for Imaging Spectroscopy and Thermal Imagery. Journal of Geophysical Research: Biogeosciences 128(9):.e2023JG007452, 36pp. DOI: 10.1029/2023JG007452

Emission Factors for Crop Residue and Prescribed Fires in the Eastern US During FIREX-AQ Travis, K.R., Crawford, J.H., Soja, A.J., Gargulinski, E.M., Moore, R.H., Wiggins, E.B., Diskin, G.S., DiGangi, J.P., Nowak, J.B., Halliday, H. and Yokelson, R.J., McCarty, J.L., Simpson, I.J., Blake, D.R., Meinardi, S., Hornbrook, R.S., Apel,E.C., Hills, A.J., Warneke, C., Coggon, M.M., Rollins, A.W., Gilman, J.B., Womack, C.C., Robinson, M.A., Katich, J.M., Peischl, J., Gkatzelis, G.I., Bourgeois, I., Rickly, P.S., Lamplugh, A., Dibb, J.E., Jimenez, J.L., Campuzano-Jost, P., Day, D.A., Guo, H., Pagonis, D., Wennberg, P.O., Crounse, J.D., Xu, L., Hanisco, T.F., Wolfe, G.M., Liao, J., St. Clair, J.M., Nault, B.A., Fried, A., Perring, A.E. (2023). Emission Factors for Crop Residue and Prescribed Fires in the Eastern US during FIREX‐AQ. Journal of Geophysical Research: Atmospheres 128(18): p.e2023JD039309, 34pp. DOI: 10.1029/2023JD039309

The northernmost Hyperspectral FLoX sensor dataset for monitoring of High-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) Tømmervik, H., Julitta, T., Nilsen, L., Park, T., Burkart, A., Ostapowicz, K., Karlsen, S.R., Parmentier, F.J., Pirk, N. and Bjerke, J.W., 2023. The northernmost Hyperspectral FLoX sensor dataset or monitoring of High-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF). Data in Brief 50: 109581, 12pp. DOI: 10.1016/j.dib.2023.109581

August 2023

Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model Lain, L. R., Kravitz, J., Matthews, M., & Bernard, S. (2023). Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model. Scientific Data, 10(1), 412. DOI: https://doi.org/10.1038/s41597-023-02310-z

What Does Global Land Climate Look Like at 2°C Warming? Park, T., Hashimoto, H., Wang, W., Thrasher, B., Michaelis, A. R., Lee, T., Brosnan, I.G., Nemani, R.R. (2023). What does global land climate look like at 2°C warming? Earth’s Future, 11(5), e2022EF003330. DOI: 10.1029/2022EF003330

Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset Sorooshian, A., Alexandrov, M. D., Bell, A. D., Bennett, R., (,,,)., Van Gilst, D., et al. (2023). Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset. Earth Syst. Sci. Data 15:3419–3472. DOI: 10.5194/essd-15-3419-2023

The coupling between tropical meteorology, aerosol lifecycle, convection, and radiation, during the Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMP2Ex) Reid, J. S., … and Zavaleta, J. (2023). The Coupling Between Tropical Meteorology, Aerosol Lifecycle, Convection, and Radiation during the Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMP2Ex). Bull. Amer. Meteor. Soc. 104: E1179–E1205. DOI: 10.1175/BAMS-D-21-0285.1.

Multi-Objective Optimization of an Intelligent Soil-Moisture-Monitoring Satellite Constellation Gorr, B., Ravindra, V., Melebari, A., Aguilar Jaramillo, A., Nag, S., Moghaddam, M. and Selva, D., 2023. Multi-Objective Optimization of an Intelligent Soil-Moisture-Monitoring Satellite Constellation. Journal of Spacecraft and Rockets 60(4):.1-13. DOI: 10.2514/1.A35558

Top‐Down Regulation by a Reindeer Herding System Limits Climate‐Driven Arctic Vegetation Change at a Regional Scale Spiegel, M. P., Volkovitskiy, A., Terekhina, A., Forbes, B. C., Park, T., & Macias-Fauria, M. (2023). Top-down regulation by a reindeer herding system limits climate-driven Arctic vegetation change at a regional scale. Earth’s Future, 11, e2022EF003407. DOI: https://doi.org/10.1029/2022EF003407

Characterizing spatial burn severity patterns of 2016 Chimney Tops 2 fire using multi-temporal Landsat and NEON LiDAR data. Park, T. and Sim, S., 2023. Characterizing spatial burn severity patterns of 2016 Chimney Tops 2 fire using multi-temporal Landsat and NEON LiDAR data. Frontiers in Remote Sensing, 4: 1096000. DOI: 10.3389/frsen.2023.1096000

Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations. Shen, Y., Zhang, X., Yang, Z., Ye, Y., Wang, J., Gao, S., Liu, Y., Wang, W., Tran, K.H. and Ju, J., 2023. Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations. Remote Sensing of Environment 296: 113729. DOI: 10.1016/j.rse.2023.113729

Quality evaluation of the column-averaged dry air mole fractions of carbon dioxide and methane observed by GOSAT and GOSAT-2 Yoshida, Y., Someya, Y., Ohyama, H., Morino, I., Matsunaga, T., Deutscher, N.M., Griffith, D.W., Hase, F., Iraci, L.T., Kivi, R. and Notholt, J., 2023. Quality evaluation of the column-averaged dry air mole fractions of carbon dioxide and methane observed by GOSAT and GOSAT-2. SOLA, 19: 173-184. DOI: 10.2151/sola.2023-023

Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset Volk, J.M., Huntington, J.L., Melton, F., Minor, B., Wang, T., Anapalli, S., Anderson, R.G., Evett, S., French, A., Jasoni, R. and Bambach, N., 2023. Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset. Data in Brief, 109274, 16 pp. DOI: 10.1016/j.dib.2023.109274

Measurement report: Spatiotemporal variability of peroxy acyl nitrates (PANs) over Mexico City from TES and CrIS satellite measurements Shogrin, M. J., Payne, V. H., Kulawik, S. S., Miyazaki, K., and Fischer, E. V.: Measurement report: Spatiotemporal variability of peroxy acyl nitrates (PANs) over Mexico City from TES and CrIS satellite measurements, Atmos. Chem. Phys., 23:2667–2682. DOI: 10.5194/acp-23-2667-2023

July 2023

Geochemical and physical variability of Icelandic tephra fields and glaciovolcanic sandur to inform spatial sampling in Mars biosignature searches M. L. Cable, A. M. Sessa, E. Rader, A. C. Simpson, A. M. Hanna, D. M. Gentry, S. M. Sutton, E. S. Amador, C. Novak, C. LeCates, M. Helmlinger, A. M . Stockton. Geochemical and physical variability of Icelandic tephra fields and glaciovolcanic sandur to inform spatial sampling in Mars biosignature searches. (2023) Planetary and Space Science, 232:105694 DOI: https://doi.org/10.1016/j.pss.2023.105694

Development of the Ames Global Hyperspectral Synthetic Data Set: Surface Bidirectional Reflectance Distribution Function Wang, W., Dungan, J., Genovese, V., Shinozuka, Y., Yang, Q., Liu, X., et al. (2023). Development of the Ames Global Hyperspectral Synthetic Data set: Surface bidirectional reflectance distribution function. Journal of Geophysical Research: Biogeosciences, 128, e2022JG007363. DOI: https://doi.org/10.1029/2022JG007363

Decoupling in the vertical shape of HCHO during a sea breeze event: The effect on trace gas satellite retrievals and column-to-surface translation Souri, A.H., R. Kumar, H. Chong, M. Golbazi, K. E. Knowland, J. Geddes, M. S. Johnson. 2023. Decoupling in the vertical shape of HCHO during a sea breeze event: The effect on trace gas satellite retrievals and column-to-surface translation. Atmospheric Environment (2023), DOI: https://doi.org/10.1016/j.atmosenv.2023.119929

Field evaluations of the CropManage decision support tool for improving irrigation and nutrient use of cool season vegetables in California Cahn, M., Smith, R., Melton, F. (2023). Field evaluations of the CropManage decision support tool for improving irrigation and nutrient use of cool season vegetables in California. Agricultural Water Management, 287, 108401. https://doi.org/10.1016/j.agwat.2023.108401 DOI: https://doi.org/10.1016/j.agwat.2023.108401

A Surface Radiation Balance Data Set from Siple Dome in West Antarctica for Atmospheric and Climate Model Evaluation Lubin, D., M. L. Ghiz, S. Castillo, R. C. Scott, S. E. LeBlanc, and I. Silber (2023). American Meteorological Society, Journal of Climate, 1–44. DOI: https://doi.org/10.1175/JCLI-D-22-0731.1

Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO-2 XCO2 Retrievals He, W., F. Jiang, W. Ju, F. Chevallier, D. F. Baker, J. Wang, M. Wu, M. S. Johnson, et al. 2023. Improved constraints on the recent terrestrial carbon sink over China by assimilating OCO-2 XCO2 retrievals. Journal of Geophysical Research: Atmospheres, 128, e2022JD037773. DOI: https://doi.org/10.1029/2022JD037773

June 2023

Anomalous net biome exchange over Amazonian rainforests induced by the 2015/16 El Niño: Soil dryness-shaped spatial pattern but temperature-dominated total flux Wang, J., N. Zeng, M. Wang, F. Jiang, F. Chevallier, S. Crowell, W. He., M. S. Johnson, et al. 2023. Anomalous net biome exchange over Amazonian rainforests induced by the 2015/16 El Niño: Soil dryness-shaped spatial pattern but temperature-dominated total flux. Geophysical Research Letters, 50, e2023GL103379. DOI: 10.1029/2023GL103379

Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights From WRF-Chem/DART Assimilation of OMI NO2, HCHO, and MODIS AOD Retrievals Pouyaei, A., Mizzi, A. P., Choi, Y., Mousavinezhad, S., & Khorshidian, N. (2023). Downwind ozone changes of the 2019 Williams Flats wildfire: Insights from WRF-Chem/DART assimilation of OMI NO2, HCHO, and MODIS AOD retrievals. Journal of Geophysical Research: Atmospheres, 128(11), e2022JD038019. DOI: 10.1029/2022JD038019

An extensive database of airborne trace gas and meteorological observations from the Alpha Jet Atmospheric eXperiment. Yates, E.L., Iraci, L.T., Kulawik, S.S., Ryoo, J-M., Marrero, J.E., Parworth, C.P., St Clair, J., Haniscoe, T.F., Bui, T.P.V., Chang, C.S., Dean Day, JM. (2023). An extensive database of airborne trace gas and meteorological observations from the Alpha Jet Atmospheric eXperiment. Earth Syst. Sci. Data 15: 2375–2389. DOI: 10.5194/essd-15-2375-2023

Inferring the vertical distribution of CO and CO2 from TCCON total column values using the TARDISS algorithm Parker, H. A., Laughner, J. L., Toon, G. C., Wunch, D., Roehl, C. M., Iraci, L. T., Podolske, J. R., McKain, K., Baier, B. C., and Wennberg, P. O. (2023): Inferring the vertical distribution of CO and CO2 from TCCON total column values using the TARDISS algorithm. Atmos. Meas. Tech., 16: 2601–2625. DOI: 10.5194/amt-16-2601-2023.

Earth observations into action: the systemic integration of earth observation applications into national risk reduction decision structures Borges, D.E., Ramage, S., Green, D., Justice, C., Nakalembe, C., Whitcraft, A., Barker, B., Becker-Reshef, I., Balagizi, C., Salvi, S. and Ambrosia, V., San-Miguel-Ayanz, J., Boschetti, L., Field, R., Giglio, L., Kuhle, L., Low, F., Kettner, A., Schumann, G., Brakenridge, G.R., Adler, R., Kontoes, H., De Boissezon, H., Eddy, A., Kirschbaum, D., Emberson, R., Cooley, S., Lloyd, S., Blake, C. and Reichenbach, K. (2023). Emerald. DOI: 10.1108/DPM-09-2022-0186

Capturing patterns of evolutionary relatedness with reflectance spectra to model and monitor biodiversity Griffith, D.M., Byrd, K.B., Anderegg, L.D., Allan, E., Gatziolis, D., Roberts, D., Yacoub, R. and Nemani, R.R., 2023. Capturing patterns of evolutionary relatedness with reflectance spectra to model and monitor biodiversity. Proceedings of the National Academy of Sciences 120(24): e2215533120 (8pp). DOI: 10.1073/pnas.2215533120

Contrasting characteristics of atmospheric rivers and their impacts on 2016 and 2020 wildfire seasons over the western United States Ryoo, Ju-Mee, and Taejin Park (2023). Contrasting characteristics of atmospheric rivers and their impacts on 2016 and 2020 wildfire seasons over the western United States. Environmental Research Letters 18(7): 074010 (12pp.). DOI: 10.1088/1748-9326/acd948

May 2023

Review Article: Inland Water Greenhouse Gas Budgets for RECCAP2: 1. State-Of-The-Art of Global Scale Assessments Lauerwald, R., Allen, G.H., Deemer, B.R., Liu, S., Maavara, T., Raymond, P., Alcott, L., Bastviken, D., Hastie, A., Holgerson, M.A. and Johnson, M.S., 2023. Inland Water Greenhouse Gas Budgets for RECCAP2: 1. State‐of‐the‐Art of Global Scale Assessments. Global Biogeochemical Cycles 37(5): e2022GB007657. DOI: 10.1029/2022GB007657

Inland Water Greenhouse Gas Budgets for RECCAP2: 2. Regionalization and Homogenization of Estimates Lauerwald, R., Allen, G. H., Deemer, B. R., Liu, S., Maavara, T., Raymond, P., Alcott, L., Bastviken, D., Hastie, A., Holgerson, M.A., Johnson, M.S., et al. (2023). Inland water greenhouse gas budgets for RECCAP2: 2. Regionalization and homogenization of estimates. Global Biogeochemical Cycles, 37, e2022GB007658. DOI: 10.1029/2022GB007658

Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign Johnson, M. S., A. H. Souri, S. Philip, R. Kumar, A. Naeger, J. Geddes, L. Judd, S. Janz, H. Chong, and J. Sullivan. 2023. Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign. Atmos. Meas. Tech.: 16, 2431–2454 DOI: 10.5194/amt-16-2431-2023

April 2023

A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation Li, R., Wang, D., Wang, W., and Nemani, R.: A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation, Earth Syst. Sci. Data, 15, 1419–1436. DOI: 10.5194/essd-15-1419-2023

Diverging ozone trends above western North America: Boundary layer decreases vs. free tropospheric increases Chang, K.-L., Cooper, O.R., Rodriguez, G., Iraci, L. T., Yates, E.L., Johnson, M. S., et al. (2023). Diverging ozone trends above western North America: Boundary layer decreases versus free tropospheric increases. Journal of Geophysical Research: Atmospheres, 128(8), e2022JD038090. DOI: 10.1029/2022JD038090

On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic Chang, I., Gao, L., Flynn, C. J., Shinozuka, Y., Doherty, S. J., Diamond, M. S., Longo, K. M., Ferrada, G. A., Carmichael, G. R., Castellanos, P., da Silva, A. M., Saide, P. E., Howes, C., Xue, Z., Mallet, M., Govindaraju, R., Wang, Q., Cheng, Y., Feng, Y., Burton, S. P., Ferrare, R. A., LeBlanc, S. E., Kacenelenbogen, M. S., Pistone, K., Segal-Rozenhaimer, M., Meyer, K. G., Ryoo, J.-M., Pfister, L., Adebiyi, A. A., Wood, R., Zuidema, P., Christopher, S. A., and Redemann, J.: On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic, Atmos. Chem. Phys., 23, 4283–4309. DOI: 10.5194/acp-23-4283-2023.

Improving the Quality of MODIS LAI Products by Exploiting Spatiotemporal Correlation Information Wang, J., Yan, K., Gao, S., Pu, J., Liu, J., Park, T., Bi, J., Maeda, E.E., Heiskanen, J., Knyazikhin, Y. and Myneni, R.B. (2023). Improving the Quality of MODIS LAI Products by Exploiting Spatiotemporal Correlation Information. IEEE Transactions on Geoscience and Remote Sensing 61: 4402319. DOI: 10.1109/TGRS.2023.3264280

BioSentinel: Validating Sensitivity of Yeast Biosensors to Deep Space Relevant Radiation Liddell, L.C., Gentry, D.M., Gilbert, R., Marina, D., Massaro Tieze, S., Padgen, M.R., Akiyama, K., Keenan, K., Bhattacharya, S. and Santa Maria, S.R. (2023). BioSentinel: Validating Sensitivity of Yeast Biosensors to Deep Space Relevant Radiation. Astrobiology 23(6): 9pp.DOI: 10.1089/ast.2022.0124

Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic Lenhardt, E. D., Gao, L., Redemann, J., Xu, F., Burton, S. P., Cairns, B., Chang, I., Ferrare, R. A., Hostetler, C. A., Saide, P. E., Howes, C., Shinozuka, Y., Stamnes, S., Kacarab, M., Dobracki, A., Wong, J., Freitag, S., and Nenes, A.: Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic, Atmos. Meas. Tech., 16, 2037–2054, https://doi.org/10.5194/amt-16-2037-2023. DOI: 10.5194/amt-16-2037-2023

March 2023

GLORIA – A globally representative hyperspectral in situ dataset for optical sensing of water quality Lehmann, M.K., Gurlin, D., Pahlevan, N., and 73 other authors, including Kravitz, J.A. GLORIA – A globally representative hyperspectral in situ dataset for optical sensing of water quality. Sci Data 10, 100 (2023) DOI: https://doi.org/10.1038/s41597-023-01973-y

The Habitability of Venus Westall, F., D. Honing, G. Avice, D. Gentry, T. Gerya, C. Gillmann, N. Izenberg, M.J. Way, and C. Wilson. (2023) The habitability of Venus. In C. F. Wilson, D. Breuer, C. Gillmann, S. E. Smrekar, T. Spohn and T. Widemann (Eds.), The Habitability of Venus. Space Sci Rev 219, 17 (2023). DOI: https://doi.org/10.1007/s11214-023-00960-4

Submesoscale effects on changes to export production under global warming. Brett, G. J., Whitt, D. B., Long, M. C., Bryan, F. O., Feloy, K., & Richards, K. J. (2023). Global Biogeochemical Cycles, 37, e2022GB007619. DOI: https://doi.org/10.1029/2022GB007619

Variation in Leaf Reflectance Spectra Across the California Flora Partitioned by Evolutionary History, Geographic Origin, and Deep Time Griffith, D.M., Byrd, K.B., Taylor, N., Allan, E., Bittner, L., O’Brien, B., Parker, V.T., Vasey, M.C., Pavlick, R. and Nemani, R.R., 2023. Variation in leaf reflectance spectra across the California flora partitioned by evolutionary history, geographic origin, and deep time. Journal of Geophysical Research: Biogeosciences 128: e2022JG007160. DOI: 10.1029/2022JG007160

Effect of Marine and Land Convection on Wet Scavenging of Ozone Precursors Observed During a SEAC4RS Case Study Cuchiara, G. C., Fried, A., Barth, M. C., Bela, M. M., Homeyer, C. R., Walega, J., Weibring, P., Richter, D., Woods, S., Beyersdorf, A., Bui, T.V., and Dean-Day, J. (2023). Effect of marine and land convection on wet scavenging of ozone precursors observed during a SEAC4RS case study. Journal of Geophysical Research: Atmospheres 128: e2022JD037107. DOI: 10.1029/2022JD037107

National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake Byrne, B., …, Johnson, M.S., et al. (2023). National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake. Earth Syst. Sci. Data 15: 963–1004. DOI: 10.5194/essd-15-963-2023

Pyrocumulonimbus affect average stratospheric aerosol composition Katich, J.M., Apel, E.C., Bourgeois, I., Brock, C.A., Bui, T.P., Campuzano-Jost, P., Commane, R., Daube, B., Dollner, M., Fromm, M., Froyd, K.D., (…) Bui, T., et al. (2023). Pyrocumulonimbus affect average stratospheric aerosol composition. Science, 379(6634): 815-820. DOI: 10.1126/science.add31

Convective Impact on the Global Lower Stratospheric Water Vapor Budget Ueyama, R., Schoeberl, M., Jensen, E., Pfister, L., Park, M., & Ryoo, J.-M. (2023). Convective impact on the global lower stratospheric water vapor budget. Journal of Geophysical Research: Atmospheres, 128(6): e2022JD037135. DOI: 10.1029/2022JD037135

Cloud Mesoscale Cellular Classification and Diurnal Cycle Using a Convolutional Neural Network (CNN) Segal Rozenhaimer, M.; Nukrai, D.; Che, H.; Wood, R.; Zhang, Z. (2023). Cloud Mesoscale Cellular Classification and Diurnal Cycle Using a Convolutional Neural Network (CNN). Remote Sens. 2023, 15(6): 1607. DOI: 10.3390/rs15061607

February 2023

Explainable deep learning for insights in El Niño and river flows Liu, Y., Duffy, K., Dy, J. G., & Ganguly, A. R. (2023). Explainable deep learning for insights in El Niño and river flows. Nature Communications, 14(1):339. DOI: 10.1038/s41467-023-35968-5

Wildfire adaptation in the Russian Arctic: A systematic policy review I.V. Canosa, R. Biesbroek, J. Ford, J.L. McCarty, R.W. Orttung, J. Paavola, D. Burnasheva. 2023. Wildfire adaptation in the Russian Arctic: A systematic policy review.  Climate Risk Management, 39: 100481. DOI: https://doi.org/10.1016/j.crm.2023.100481

Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties Souri, A. H., Johnson, M. S., Wolfe, G. M., Crawford, J. H., Fried, A., Wisthaler, A., Brune, W. H., Blake, D. R., Weinheimer, A. J., Verhoelst, T., Compernolle, S., Pinardi, G., Vigouroux, C., Langerock, B., Choi, S., Lamsal, L., Zhu, L., Sun, S., Cohen, R. C., Min, K.-E., Cho, C., Philip, S., Liu, X., and Chance, K. (2023). Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties, Atmos. Chem. Phys., 23, 1963–1986. DOI: 10.5194/acp-23-1963-2023

Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s Stavros, E. N., J. Chrone, K. Cawse-Nicholson, A. Freeman, N. F. Glenn, L. Guild, R. Kokaly, C. Lee, J. Luvall, R. Pavlick, B. Poulter, S. Schollaert Uz, S. Serbin, D. R. Thompson, P. A. Townsend, K. Turpie, K. Yuen, K. Thome, W. Wang, S.-K. Zareh, J. Nastal, D. Bearden, C. E. Miller, D. Schimel (2022). Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s. Special Section: The Earth in living color: spectroscopic and thermal imaging of the Earth: NASA’s Decadal Survey Surface Biology and Geology Designated Observable. JGR Biogeosciences 28(1). DOI: 10.1029/2021JG006471

Development of a benchmark Eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS Volk, J. M., Huntington, J., Melton, F. S., Allen, R., Anderson, M. C., Fisher, J. B., Kilic, A., SEnay, G., Halverson, G., Knipper, K., Minor, B., Pearson, C., Wang, T., Yang, Y., Evett, S., French, A., Jason R., & Kustas, W. (2023). Development of a benchmark Eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS. Agricultural and Forest Meteorology, 331, 109307. DOI: 10.1016/j.agrformet.2023.109307

Dynamics of volcanic vortex rings Pulvirenti, F., Scollo, S., Ferlito, C., Schwandner, F.M. (2023). Dynamics of volcanic vortex rings. Scientific Reports, 13(1), p.2369. DOI: 10.1038/s41598-022-26435-0

Improving the MODIS LAI compositing using prior timeseries information Jiabin Pu, Kai Yan, Si Gao, Yiman Zhang, Taejin Park, Xian Sun, Marie Weiss, Yuri Knyazikhin, Ranga B. Myneni (2023). Improving the MODIS LAI compositing using prior timeseries information, Remote Sensing of Environment, 287, 113493. DOI: https://doi.org/10.1016/j.rse.2023.113493

Using commercial high-resolution satellite imagery to monitor a nuisance macroalga in the largest marine protected area in the USA. Fraiola, K.M., Miura, T., Martinez, J., Lopes, K.H., Amidon, F., Torres-Pérez, J., Spalding, H.L., Williams, T., So, K., Sachs, E. and Kosaki, R.K. (2022). Using commercial high-resolution satellite imagery to monitor a nuisance macroalga in the largest marine protected area in the USA. Coral Reefs, 42:253-259. DOI: 10.1007/s00338-022-02336-6

The Cross Equatorial Transport of the Hunga Tonga-Hunga Ha’apai Eruption Plume Schoeberl, M. R., Wang, Y., Ueyama, R., Taha, G., and Yu, W. 2023. Geophysical Research Letters, 50.e2022GL102443. DOI: https://doi.org/10.1029/2022GL102443

January 2023

Towards a whole-system framework for wildfire monitoring using Earth observations Crowley, M. A., Stockdale, C. A., Johnston, J. M., Wulder, M. A., Liu, T., McCarty, J. L., Rieb, J. T., Cardille, J. A., & White, J. C.(2022). Towards a whole-system framework for wildfire monitoring using Earth observations. Global Change Biology, 00, 1–14. DOI: 10.1111/gcb.16567

Carbon uptake in Eurasian boreal forests dominates the high-latitude net ecosystem carbon budget Watts, J. D.,Farina, M.,Kimball, J. S.,Schiferl, L. D.,Liu, Z.,Arndt, K. A.,Zona, D.,Ballantyne, A.,Euskirchen, E. S.,Parmentier, F.-J.,Helbig, M.,Sonnentag, O.,Tagesson, T.,Rinne, J.,Ikawa, H.,Ueyama, M.,Kobayashi, H.,Sachs, T.,Nadeau, D. F.,Kochendorfer, J., Jackowicz-Korczynski, M., Virkkala, A., Aurela, M., Commane, R., Byrne, B., Birch, L., Johnson, M. S., et al.(2023). Carbon uptake in Eurasian boreal forests dominates the high-latitude net ecosystem carbon budget. Global Change Biology, 00,1–20. DOI:10.1111/gcb.16553