December 2022

Emission factors and evolution of SO2 measured from biomass burning in wildfires and agricultural fires Rickly, P., Guo, H., Campuzano-Jost, P., Jimenez, J.L., Wolfe, G.M., Bennett, R., Bourgeois, I., Crounse, J.D., Dibb, J.E., DiGangi, J.P., Diskin, G.S., Dollner, M., Gargulinski, E.M., Hall, S.R., Halliday, H.S., Hanisco, T.F., Hannun, R.A., Liao, J., Moore, R., Nault, B.A., Nowak, J.B., Peischl, J., Robinson, C.E., Ryerson, T., Sanchez, K.J., Schöberl, M., Soja, A.j., St.Clair, J.M., Thornhill, K.L., Ullmann, K., Wennberg, P.O., Weinzierl, B., Wiggins, E.B., Winstead, E.L., Rollins, A.W. 2022. Emission factors and evolution of SO2 measured from biomass burning in wild and agricultural fires. Atmospheric Chemistry and Physics, 22, 15603–15620. DOI: 10.5194/acp-22-15603-2022

Neighborhood-scale ambient NO2 concentrations using TROPOMI NO2 data: Applications for spatially comprehensive exposure assessment Lee, H.J., Liu, Y., and Chatfield, R.B., 2023. Neighborhood-scale ambient NO2 concentrations using TROPOMI NO2 data: Applications for spatially comprehensive exposure assessment. Science of The Total Environment, 857(3):159342. NOI: 10.1016/j.scitotenv.2022.159342

Using Convolutional Neural Networks for Cloud Detection on VENμS Images over Multiple Land-Cover Types Pešek, O., Segal-Rozenhaimer, M., and Karnieli, A., 2022. Using Convolutional Neural Networks for Cloud Detection on VENμS Images over Multiple Land-Cover Types. Remote Sensing, 14(20), p.5210. DOI: 10.3390/rs14205210

November 2022

Disturbances in North American boreal forest and Arctic tundra: impacts, interactions, and responses Foster, A., (25 co-authors)…C. Potter, et al., 2022, Disturbances in North American boreal forest and Arctic tundra: impacts, interactions, and responses. Environmental Research Letters. 17(11). https://iopscience.iop.org/article/10.1088/1748-9326/ac98d7. DOI: 10.1088/1748-9326/ac98d7

Constraining China’s land carbon sink from emerging satellite CO2 observations: progress and challenges. Global Change Biology Wang, Y., Tian, X., Chevallier, F., Johnson, M.S., Philip, S., Baker, D.F., Schuh, A.E., Deng, F., Zhang, X., Zhang, L., Zhu, D. and Wang, X. (2022), Constraining China’s land carbon sink from emerging satellite CO2 observations: progress and challenges. Glob Change Biol. 8:6838–6846. https://doi.org/10.1111/gcb.16412. DOI: 10.1111/gcb.16412

Measurements from inside a Thunderstorm Driven by Wildfire: The 2019 FIREX-AQ Field Experiment Peterson, D.A., Thapa, L.H., Saide, P.E., Soja, A.J., Gargulinski, E.M., Hyer, E.J., Weinzierl, B., Dollner, M., Schöberl, M., Papin, P.P., Kondragunta, S., Camacho, C.P., Ichoku, C., Moore, R.H., Hair, J.W., Crawford, J.H., Dennison, P.E., Kalashnikova, O.V., Bennese, C.E., Bui, T.P., DiGangi, J.P., Diskin, G.S., Fenn, M.A., Halliday, H.S., Jimenez, J., Nowak, J.B., Robinson, C., Sanchez, K., Shingler, T.J., Thornhill, L., Wiggins, E.B., Winstead, E., and Chuanyu Xu. 2022. Measurements from inside a Thunderstorm Driven by Wildfire: The 2019 FIREX-AQ Field Experiment. Bulletin of the American Meteorological Society 103(9):E2140-E2167. DOI: 10.1175/BAMS-D-21-0049.1

Intercomparison of airborne and surface-based measurements during the CLARIFY, ORACLES and LASIC field experiments Barrett, P. A., Abel, S. J., Coe, H., Crawford, I., Dobracki, A., Haywood, J., Howell, S., Jones, A., Langridge, J., McFarquhar, G. M., Nott, G. J., Price, H., Redemann, J., Shinozuka, Y., Szpek, K., Taylor, J. W., Wood, R., Wu, H., Zuidema, P., Bauguitte, S., Bennett, R., Bower, K., Chen, H., Cochrane, S., Cotterell, M., Davies, N., Delene, D., Flynn, C., Freedman, A., Freitag, S., Gupta, S., Noone, D., Onasch, T. B., Podolske, J., Poellot, M. R., Schmidt, S., Springston, S., Sedlacek III, A. J., Trembath, J., Vance, A., Zawadowicz, M. A., and Zhang, J.: Intercomparison of airborne and surface-based measurements during the CLARIFY, ORACLES and LASIC field experiments, Atmos. Meas. Tech., 15, 6329–6371. DOI: 10.5194/amt-15-6329-2022

A meteorological overview of the ORACLES (ObseRvations of Aerosols above CLouds and thier intEractionS) campaign over the southeastern Atlantic during 2016-2018: Part 2 – Daily and synoptic characteristics Ryoo, J.-M., Pfister, L., Ueyama, R., Zuidema, P., Wood, R., Chang, I., and Redemann, J., 2022: A meteorological overview of the ORACLES(ObseRvations of Aerosols above CLouds and their intEractionS) campaign over the southeastern Atlantic during 2016–2018: Part 2 – Daily and synoptic characteristics, Atmos. Chem. Phys., 22, 14209–14241 DOI: https://doi.org/10.5194/acp-22-14209-2022

Diverse Responses of Multiple Satellite-Derived Vegetation Greenup Onsets to Dry Periods in the Amazon Zhang, X., Shen, Y., Gao, S., Wang, W., & Schaaf, C. (2022). Diverse responses of multiple satellite-derived vegetation greenup onsets to dry periods in the Amazon. Geophysical Research Letters, 49, e2022GL098662

Deep Convective Cloud Top Altitudes at High Temporal and Spatial Resolution Pfister, L., Ueyama, R., Jensen, E. J., & Schoeberl, M. R. (2022). Deep convective cloud top altitudes at high temporal and spatial resolution. Earth and Space Science, 9, e2022EA002475.

October 2022

Aerosol size distribution changes in FIREX-AQ biomass burning plumes: the impact of plume concentration on coagulation and OA condensation/evaporation June, N. A., Hodshire, A. L., Wiggins, E. B., Winstead, E. L., Robinson, C. E., Thornhill, K. L., Sanchez, K. J., Moore, R. H., Pagonis, D., Guo, H., Campuzano-Jost, P., Jimenez, J. L., Coggon, M. M., Dean-Day, J. M., Bui, T. P., Peischl, J., Yokelson, R. J., Alvarado, M. J., Kreidenweis, S. M., Jathar, S. H., and Pierce, J. R.: Aerosol size distribution changes in FIREX-AQ biomass burning plumes: the impact of plume concentration on coagulation and OA condensation/evaporation, Atmos. Chem. Phys., 22, 12803–12825. DOI: 10.5194/acp-22-12803-2022

Climate-mediated shifts in temperature fluctuations promote extinction risk Duffy, K., Gouhier, T.C. & Ganguly, A.R. Climate-mediated shifts in temperature fluctuations promote extinction risk. Nature Climate Change. (2022). DOI: https://doi.org/10.1038/s41558-022-01490-7

Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia Byrne, B., Liu, J., Yi, Y., Chatterjee, A., Basu, S., Cheng, R., Doughty, R., Chevallier, F., Bowman, K. W., Parazoo, N. C., Crisp, D., Li, X., Xiao, J., Sitch, S., Guenet, B., Deng, F., Johnson, M. S., Philip, S., McGuire, P. C., and Miller, C. E.: Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia, Biogeosciences, 19, 4779–4799. DOI: 10.5194/bg-19-4779-2022

Analysis and impact of the Hunga Tonga-Hunga Ha’apai stratospheric water vapor plume Schoeberl, M. R., Y. Wang, R. Ueyama, G. Taha, E. Jensen, and W. Yu. 2022. Analysis and impact of the Hunga Tonga-Hunga Ha’apai stratospheric water vapor plume. Geophysical Research Letters, 49, e2022GL100248. https://doi.org/10.1029/2022GL100248. DOI: 10.1029/2022GL100248

September 2022

Rain Impacts on the Surface Atmosphere and Upper Ocean in the Central Equatorial Pacific Whitt, D. B. (2022). Rain Impacts on the Surface Atmosphere and Upper Ocean in the Central Equatorial Pacific, Journal of Physical Oceanography, 52(9), 1969-1991. DOI: 10.1175/JPO-D-22-0033.1

Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties LeBlanc, S. E., Segal-Rozenhaimer, M., Redemann, J., Flynn, C., Johnson, R. R., Dunagan, S. E., Dahlgren, R., Kim, J., Choi, M., da Silva, A., Castellanos, P., Tan, Q., Ziemba, L., Lee Thornhill, K., and Kacenelenbogen, M. (2022). Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties, Atmos. Chem. Phys., 22, 11275–11304. DOI: 10.5194/acp-22-11275-2022

Homogeneous Freezing Events Sampled in the Tropical Tropopause Layer Jensen, E. J., Diskin, G. S., DiGangi, J., Woods, S., Lawson, R. P., & Bui, T. V. (2022). Homogeneous freezing events sampled in the tropical tropopause layer. Journal of Geophysical Research: Atmospheres, 127, e2022JD036535. DOI: 10.1029/2022JD036535

Phenology of Primary Producers (State of the Climate in 2021: Global Climate) Hemming, D. L., O. Anneville., Y. Aono., J. Garforth., A. Menzel., J. O’Keefe., T. Park., A.D. Richardson., T. Rutishauser., T.H. Sparks., S.J. Thackeray., A. van Vliet. and Y. Yuan., 2022: Phenology of Primary Producers. In: Jessica Blunden & Tim Boyer (eds.), “State of the Climate in 2021: Global Climate“. Bulletin of the American Meteorological Society, 103 (8), S11-S142 (article: S105–S108). DOI: 10.1175/BAMS-D-22-0092.1

Tundra Greenness (State of the Climate in 2021: The Arctic) Frost, G. V., M. J. Macander, U. S. Bhatt, L. T. Berner, J. W. Bjerke, H. E. Epstein, B. C. Forbes, S. J. Goetz, M. M. P. D. Heijmans, M. J. Lara, R. Í. Magnússon, T. Park, G. K. Phoenix, J. E. Pinzon, S. P. Serbin, H. Tømmervik, C. J. Tucker, D. A. Walker, and D. Yang. 2022. Tundra greenness. In: R. Thoman, M.L. Druckenmiller, & T. Moon (eds.), “State of the Climate in 2021: The Arctic”. Bulletin of the American Meteorological Society 103 (8):S257-S306 (article: S291–S293). DOI: 10.1175/BAMS-D-22-0082.1

Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO2 Over North America on Seasonal and Sub-Continental Scales Cui, Y.Y., Zhang, L., Jacobson, A.R., Johnson, M.S., Philip, S., Baker, D., Chevallier, F., Schuh, A.E., Liu, J., Crowell, S. and Peiro, H.E. (2022). Evaluating global atmospheric inversions of terrestrial net ecosystem exchange CO2 over North America on seasonal and sub‐continental scales. Geophysical Research Letters, e2022GL100147. DOI: 10.1029/2022GL100147

Global premature mortality by dust and pollution PM2.5 estimated from aerosol reanalysis of the modern-era retrospective analysis for research and applications, version 2. Yang A., Tan Q., Rajapakshe C., Chin M., and Yu H. (2022) Global premature mortality by dust and pollution PM2.5 estimated from aerosol reanalysis of the modern-era retrospective analysis for research and applications, version 2. Front. Environ. Sci. 10:975755. DOI: 10.3389/fenvs.2022.975755

August 2022

Biomass burning and marine aerosol processing over the southeast Atlantic Ocean: a TEM single-particle analysis Dang, C., Segal-Rozenhaimer, M., Che, H., Zhang, L., Formenti, P., Taylor, J., Dobracki, A., Purdue, S., Wong, P.-S., Nenes, A., Sedlacek III, A., Coe, H., Redemann, J., Zuidema, P., Howell, S., and Haywood, J. (2022): Biomass burning and marine aerosol processing over the southeast Atlantic Ocean: a TEM single-particle analysis, Atmos. Chem. Phys., 22, 9389–9412. DOI: 10.5194/acp-22-9389-2022.

Light absorption by brown carbon over the South-East Atlantic Ocean Zhang, L., Segal-Rozenhaimer, M., Che, H., Dang, C., Sedlacek III, A. J., Lewis, E. R., Dobracki, A., Wong, J. P. S., Formenti, P., Howell, S. G., and Nenes, A. (2022): Light absorption by brown carbon over the South-East Atlantic Ocean, Atmos. Chem. Phys., 22, 9199–9213. DOI: 10.5194/acp-22-9199-2022.

A robust, fast, and accurate algorithm for point in spherical polygon classification with applications in geoscience and remote sensing Ketzner R, Ravindra V, Bramble M. A robust, fast, and accurate algorithm for point in spherical polygon classification with applications in geoscience and remote sensing. Comput Geosci. 2022;167:105185. DOI 10.1016/j.cageo.2022.105185

Methane Emission From Global Lakes: New Spatiotemporal Data and Observation-Driven Modeling of Methane Dynamics Indicates Lower Emissions Johnson, M. S., E. Matthews, J. Du, V. Genovese, & D. Bastviken (2022). Methane emission from global lakes: New spatiotemporal data and observation-driven modeling of methane dynamics indicates lower emissions. Journal of Geophysical Research: Biogeosciences, 127, e2022JG006793. DOI: 10.1029/2022JG006793

On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset Liner, S.; Ryoo, J.-M.; Chiao, S. (2022). On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset. Water, 14, 2392. DOI: 10.3390/w14152392

Fluidic-Based Instruments for Space Biology Research in CubeSats Harandi, B., Ng, S., Liddell, L.C., Gentry, D.M. and Santa Maria, S.R. (2022). Fluidic-Based Instruments for Space Biology Research in CubeSats. Frontiers in Space Technologies, 3:853980. DOI: 10.3389/frspt.2022.853980

Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products Schneider, M., Ertl, B., Tu, Q., Diekmann, C. J., Khosrawi, F., Röhling, A. N., Hase, F., Dubravica, D., García, O. E., Sepúlveda, E., Borsdorff, T., Landgraf, J., Lorente, A., Butz, A., Chen, H., Kivi, R., Laemmel, T., Ramonet, M., Crevoisier, C., Pernin, J., Steinbacher, M., Meinhardt, F., Strong, K., Wunch, D., Warneke, T., Roehl, C., Wennberg, P. O., Morino, I., Iraci, L. T., Shiomi, K., Deutscher, N. M., Griffith, D. W. T., Velazco, V. A., and Pollard, D. F. (2022). Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products, Atmos. Meas. Tech., 15, 4339–4371. DOI: 10.5194/amt-15-4339-2022

Seasonal variations in fire conditions are important drivers in the trend of aerosol optical properties over the south-eastern Atlantic Che, H., Segal-Rozenhaimer, M., Zhang, L., Dang, C., Zuidema, P., Sedlacek III, A. J., Zhang, X., and Flynn, C. (2022). Seasonal variations in fire conditions are important drivers in the trend of aerosol optical properties over the south-eastern Atlantic, Atmos. Chem. Phys., 22, 8767–8785. DOI: 10.5194/acp-22-8767-2022

Sensitivity analysis of an aerosol-aware microphysics scheme in Weather Research and Forecasting (WRF) during case studies of fog in Namibia Weston, M. J., Piketh, S. J., Burnet, F., Broccardo, S., Denjean, C., Bourrianne, T., and Formenti, P. (2022). Sensitivity analysis of an aerosol-aware microphysics scheme in Weather Research and Forecasting (WRF) during case studies of fog in Namibia, Atmos. Chem. Phys., 22, 10221–10245. DOI: 10.5194/acp-22-10221-2022

Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow Vandal, T. J., Duffy, K., McCarty, W., Sewnath, A., & Nemani, R. (2022). Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. DOI: 10.1145/3534678.3539345

Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS Doherty, C.T., Johnson, L.F., Volk, J., Mauter, M.S., Bambach, N., McElrone, A.J., Alfieri, J.G., Hipps, L.E., Prueger, J.H., Castro, S.J., Alsina, M.M., Kustas, W.P., and F.S. Melton, 2022. Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS. Irrigation Science, pp.1-16. DOI: 10.1007/s00271-022-00808-9

Cloud processing and weeklong ageing affect biomass burning aerosol properties over the south-eastern Atlantic Che, H., Segal-Rozenhaimer, M., Zhang, L., Dang, C., Zuidema, P., Dobracki, A., Sedlacek, A.J., Coe, H., Wu, H., Taylor, J. and Zhang, X., 2022. Cloud processing and weeklong ageing affect biomass burning aerosol properties over the south-eastern Atlantic. Communications Earth & Environment (Nature), 3(1), pp.1-9. DOI: 10.1038/s43247-022-00517-3

A Lagrangian View of Seasonal Stratosphere-Troposphere Exchange Schoeber, M.R., Ueyama, R. and Pfister, L., Bergman (2022). A Lagrangian View of Seasonal Stratosphere‐Troposphere Exchange. Journal of Geophysical Research: Atmospheres, e2022JD036772. DOI: 10.1029/2022JD036772

Multi-sensor machine learning to retrieve high spatiotemporal resolution land surface temperature Duffy, K., Vandal, T. and Nemani, R. (2022). Multi-sensor machine learning to retrieve high spatiotemporal resolution land surface temperature. IEEE Access 10: 89221-89231. DOI: 10.1109/ACCESS.2022.3198673

Paths to research-driven decision making in the realms of environment and water Cooley, S., Jenkins, A., Schaeffer, B., Bormann, K.J., Abdallah, A., Melton, F., Granger, S. and Graczyk, I. (2022). Paths to research-driven decision making in the realms of environment and water. Technology in Society, 101994. DOI: 10.1016/j.techsoc.2022.101994

July 2022

NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition Knowland, K. E., Keller, C. A., Wales, P. A., Wargan, K., Coy, L., Johnson, M. S., Liu, J., Lucchesi, R. A., Eastham, S. D., Fleming, E., Liang, Q., Leblanc, T., Livesey, N. J., Walker, K. A., Ott, L. E., Pawson, S. (2022). NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric composition. Journal of Advances in Modeling Earth Systems, 14, e2021MS002852.

The Shortwave Spectral Radiometer for Atmospheric Science: Capabilities and Applications from the ARM User Facility Riihimaki, L. D., Flynn, C. J., McComiskey, A. C., Lubin, D., Blanchard, Y., Chiu, C., Feingold, G., Feldman, D. R., Gristey, J. J., Herrera, C., Hodges, G., Kassianov, E. I., LeBlanc, S., Marshak, A., Michalsky, J., Pilweskie, P., Schmidt, S., Scott, R. C., Shea, Y., Thome, K., Wagener, R., Wielicki B. A. (2021). The Shortwave Spectral Radiometer for Atmospheric Science: Capabilities and Applications from the ARM User Facility. Bulletin of the American Meteorological Society, 102(3), pp.E539-E554. Doi: 10.1175/BAMS-D-19-0227.1

Evaluation of the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Evaporative Stress Index at Micro and Macro Climate Levels Using Field Measurements in the San Francisco Bay Area Croteau, A., M. Zepeda, and C. Potter, 2022, Evaluation of the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Evaporative Stress Index at Micro and Macro Climate Levels Using Field Measurements in the San Francisco Bay Area. Journal of Remote Sensing & GIS. 11:4:1000226. Doi: 10.35248/2469-4134.22.11.226

Can the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Satellite Track Soil Moisture at the Macro-Climate Scale Across the Western United States? Zepeda, M., A. Croteau, and C. Potter, 2022, Can the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) Satellite Track Soil Moisture at the Macro-Climate Scale Across the Western United States? Journal of Remote Sensing & GIS. 11:5:1000231. Doi: 10.35248/2469-4134.22.11.231

Water-Use Data in the United States: Challenges and Future Directions Marston, L.T., Abdallah, A.M., Bagstad, K.J., Dickson, K., Glynn, P., Larsen, S.G., Melton, F.S., Onda, K., Painter, J.A., Prairie, J. and Ruddell, B.L., 2022. Water‐Use Data in the United States: Challenges and Future Directions. JAWRA Journal of the American Water Resources Association. Doi: 10.1111/1752-1688.13004

June 2022

NASA Global Daily Downscaled Projections, CMIP6 Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T. and Nemani, R., 2022. NASA Global Daily Downscaled Projections, CMIP6. Scientific Data (NATURE) 9(1), pp.1-6.

Satellite measurements of peroxyacetyl nitrate from the Cross-Track Infrared Sounder: comparison with ATom aircraft measurements Payne, V. H., Kulawik, S. S., Fischer, E. V., Brewer, J. F., Huey, L. G., Miyazaki, K., Worden, J. R., Bowman, K. W., Hintsa, E. J., Moore, F., Elkins, J. W., and Juncosa Calahorrano, J. (2022). Satellite measurements of peroxyacetyl nitrate from the Cross-Track Infrared Sounder: comparison with ATom aircraft measurements, Atmos. Meas. Tech., 15, 3497–3511

Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western US Wildfires Stockwell, C.E., Bela, M.M., Coggon, M.M., Gkatzelis, G.I., Wiggins, E., Gargulinski, E.M., Shingler, T., Fenn, M., Griffin, D., Holmes, C.D., Ye, X., Saide, P.E., Bourgeois, I., Peischl, J., Womack, C.C., Washenfelder, R.A., Veres, P.R., Neuman, J.A., Gilman, J.B., Lamplugh, A., Schwantes, R.H., McKeen, S.A., Wisthaler, A., Piel, F., Guo, H., Campuzano-Jost, P., Jimenez, J.L., Fried, A., Hanisco, T.F., Huey, L.G., Perring, A., Katich, J.M., Diskin, G.S., Nowak, J.B., Bui, T., Halliday, H.S., DiGangi, J.P., Pereira, G., James, E.P., Ahmadov, R., McLinden, C.A., Soja, A.J., Moore, R.H., Hair, J.W., and C. Warneke (2022). Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western US Wildfires. Environmental Science & Technology 56, 12, 7564–7577.

Spatial Variation in Results of Biosignature Analyses of Apparently Homogeneous Samples from Mars Analogue Environments in Iceland Tan, G.K., Simpson, A., Holtzen, S., Amador, E., Cable, M.L., Cantrell, T., Cullen, T., Duca, Z., Gentry, D., Kirby, J., McCraig, H., Murukesan, G., Patel, A., Pital, A., Rader, E., Rennie, V., Sutton, S., Stevens, A., Whitehead, J., Cullen, D.C., Geppert, W., A.M. Stockton (2022). Spatial Variation in Results of Biosignature Analyses of Apparently Homogeneous Samples from Mars Analogue Environments in Iceland. ACS Earth and Space Chemistry 6, 6, 1472–1481.

Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model Schwantes, R.H., Lacey, F.G., Tilmes, S., Emmons, L.K., Lauritzen, P.H., Walters, S., Callaghan, P., Zarzycki, C.M., Barth, M.C., Jo, D.S., Bacmeister, J.T., Neale, R.B., Vitt, F., Kluzek, E., Roozitalab, B., Hall, S.R., Ullmann, K., Warneke, C., Peischl, J., Ilana, P.B., Flocke, F., Wolfe, G.M., Hanisco, T.F., Keutsch, F.N., Kaiser, J., Bui, T.V., Jimenez, J.L., Campuzano-Jost, P., Apel, E.C., Hornbrook, R.S., Hills, A.J., Yuan, B., and Wisthaler A. (2022). Evaluating the impact of chemical complexity and horizontal resolution on tropospheric ozone over the conterminous US with a global variable resolution chemistry model. Journal of Advances in Modeling Earth Systems, 14, e2021MS002889.

Towards an operational irrigation management system for Sweden with a water–food–energy nexus perspective Campana, P.E., Lastanao, P., Zainali, S., Zhang, J., Landelius, T. and Melton, F., 2022. Towards an operational irrigation management system for Sweden with a water–food–energy nexus perspective. Agricultural Water Management, 271, p.107734.

May 2022

A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery Sorek-Hamer M., Von Pohle M., Sahasrabhojanee A., Akbari Asanjan A., Deardorff E., Suel E., Lingenfelter V., Das K., Oza N.C., Ezzati M., and Brauer M. 2022. A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery. Atmosphere, 13(5):696.

A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing Duffy, K., T.J. Vandal, W. Wang, R. Nemani, and A.R. Ganguly. 2022. A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Transactions on Neural Networks and Learning Systems.

Making the US national forest inventory spatially contiguous and temporally consistent Yu, Y., Saatchi, S.S., Domke, G., Walters, B., Woodall, C., Ganguly, S., Li, S., Kalia, S., Park, T., Nemani, R.R. and Hagen, S., 2022. Making the US national forest inventory spatially contiguous and temporally consistent. Environmental Research Letters 17(6): 065002.

Simulation and Scaling of the Turbulent Vertical Heat Transport and Deep-Cycle Turbulence across the Equatorial Pacific Cold Tongue Whitt, D. B., Cherian, D. A., Holmes, R. M., Bachman, S. D., Lien, R. C., Large, W. G., & Moum, J. N. (2022). Simulation and scaling of the turbulent vertical heat transport and deep-cycle turbulence across the equatorial Pacific cold tongue. Journal of Physical Oceanography, 52(5), 981-1014.

Commentary: Water-Use Data in the United States: Challenges and Future Directions Marston, L.T., A.M. Abdallah, K.J. Bagstad, K. Dickson, P. Glynn, S.G. Larsen, F.S. Melton, K. Onda, J.A. Painter, J. Prairie,B.L. Ruddell, R.R. Rushforth, G.B. Senay, and K. Shaffer. 2022. “Water-Use Data in the United States: Challenges and Future Directions. Journal of the American Water Resources Association, 2022, 1–11.

Coordinated Robotic Exploration of Dynamic Open Ocean Phenomena Pinot, J., C. Costa, R. Mendes, K. Lim, P. Dias, J. Pereira, M Ribeiro, R. Campos, M.P. Tomasino, C. Magalhaes, F.L. Castejon, J. Gilabert, A.M. Santos Ferreira, J.C.B. da Silva, P. Relvas, T. Lukaczyk, K.A. Skarpnes, E. Davies, A. Chekalyuk, B. Loureiro, I.G. Brosnan, J. Li, J.B. de Sousa, and K. Rajan. 2022. Coordinated Robotic Exploration of Dynamic Ocean Phenomena. Field Robotics 2:843-871.

April 2022

Above-aircraft cirrus cloud and aerosol optical depth from hyperspectral irradiances measured by a total-diffuse radiometer Norgren, M. S., Wood, J., Schmidt, K. S., van Diedenhoven, B., Stamnes, S. A., Ziemba, L. D., Crosbie, E. C., Shook, M. A., Kittelman, A. S., LeBlanc, S. E., Broccardo, S., Freitag, S., and Reid, J. S., 2022: Above-aircraft cirrus cloud and aerosol optical depth from hyperspectral irradiances measured by a total-diffuse radiometer, Atmos. Meas. Tech., 15, 1373–1394, DOI: 10.5194/amt-15-1373-2022.

A Collection of Airborne Measurements and Analyses of Trace Gases Emitted From Multiple Fires in California Iraci, L. T., Parworth, C. L., Yates, E. L., Marrero, J. E., and Ryoo, J.-M., (2022): A collection of airborne measurements and analyses of trace gases emitted from multiple fires in California, Earth and Space Science, 9, e2021EA002116. https://doi.org/10.1029/2021EA002116

Photochemical evolution of the 2013 California Rim Fire: synergistic impacts of reactive hydrocarbons and enhanced oxidants Wolfe, G. M., Hanisco, T. F., Arkinson, H. L., Blake, D. R., Wisthaler, A., Mikoviny, T., Ryerson, T. B., Pollack, I., Peischl, J., Wennberg, P. O., Crounse, J. D., St. Clair, J. M., Teng, A., Huey, L. G., Liu, X., Fried, A., Weibring, P., Richter, D., Walega, J., Hall, S. R., Ullmann, K., Jimenez, J. L., Campuzano-Jost, P., Bui, T. P., Diskin, G., Podolske, J. R., Sachse, G., and Cohen, R. C., (2022): Photochemical evolution of the 2013 California Rim Fire: synergistic impacts of reactive hydrocarbons and enhanced oxidants, Atmos. Chem. Phys., 22, 4253–4275, https://doi.org/10.5194/acp-22-4253-2022.

High-Flying Interns: NASA’s Student Airborne Research Program (SARP) Schaller, E.L., Bennett, J.R., Blake, D.R., Kudela, R.M., Lefer, B.L., Martin, M.Y., Roberts, D.A., Shetter, R.E., Tagg, B.A. and Kaye, J.A., 2022. High-Flying Interns: NASA’s Student Airborne Research Program (SARP). Bulletin of the American Meteorological Society, 103(4), pp.E1061-E1077.

March 2022

Dominant role of mineral dust in cirrus cloud formation revealed by global-scale measurements Froyd, K.D., Yu, P., Schill, G.P., Brock, C.A., Kupc, A., Williamson, C.J., Jensen, E.J., Ray, E., Rosenlof, K.H., Bian, H., Darmenov, A.S., Colarco, P.R., Diskin, G.S., Bui, T. and D.M. Murphy, 2022. Dominant role of mineral dust in cirrus cloud formation revealed by global-scale measurements. Nature Geoscience, pp.1-7. DOI: 10.1038/s41561-022-00901-w

Long-range transport of Asian emissions to the West Pacific tropical tropopause layer Treadaway, V., Atlas, E., Schauffler, S., Navarro, M., Ueyama, R., Pfister, L., Thornberry, T., Rollins, A., Elkins, J., Moore, F. and Rosenlof, K., 2022. Long-range transport of Asian emissions to the West Pacific tropical tropopause layer. Journal of Atmospheric Chemistry, pp.1-20. DOI: 10.1007/s10874-022-09430-7

Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? Kacenelenbogen, M. S. F., Tan, Q., Burton, S. P., Hasekamp, O. P., Froyd, K. D., Shinozuka, Y., Beyersdorf, A. J., Ziemba, L., Thornhill, K. L., Dibb, J. E., Shingler, T., Sorooshian, A., Espinosa, R. W., Martins, V., Jimenez, J. L., Campuzano-Jost, P., Schwarz, J. P., Johnson, M. S., Redemann, J., and Schuster, G. L.: Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?, Atmos. Chem. Phys., 22, 3713–3742, 2022. DOI 10.5194/acp-22-3713-2022.

The NASA Atmospheric Tomography (ATom) Mission: Imaging the Chemistry of the Global Atmosphere Thompson, C.R., Wofsy, S.C., Prather, M.J., Newman, P.A., Hanisco, T.F., Ryerson, T.B., Fahey, D.W., Apel, E.C., Brock, C.A., Brune, W.H., Bui, T.P., Chang, C., et al., 2022. The NASA atmospheric Tomography (ATom) mission: imaging the chemistry of the global atmosphere. Bulletin of the American Meteorological Society, 103(3), pp.E762-E791.

Attribution of Space-Time Variability in Global-Ocean Dissolved Inorganic Carbon Carroll, D., Menemenlis, D., Dutkiewicz, S., Lauderdale, J. M., Adkins, J. F., Bowman, K. W., Whitt, D., et al.. 2022. Attribution of space-time variability in global-ocean dissolved inorganic carbon. Global Biogeochemical Cycles, 36, e2021GB007162. DOI: 10.1029/2021GB007162

On the role of atmospheric model transport uncertainty in estimating the Chinese land carbon sink Schuh, A.E., Byrne, B., Jacobson, A.R., Crowell, S.M., Deng, F., Baker, D.F., Johnson, M.S., Philip, S. and Weir, B., 2022. On the role of atmospheric model transport uncertainty in estimating the Chinese land carbon sink. Nature, pp.1-2. DOI: 10.1038/s41586-021-04258-9

February 2022

Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7 Peiro, H., Crowell, S., Schuh, A., Baker, D. F., O’Dell, C., Jacobson, A. R., Chevallier, F., Liu, J., Eldering, A., Crisp, D., Deng, F., Weir, B., Basu, S., Johnson, M. S., Philip, S., and Baker, I.: Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7, Atmos. Chem. Phys., 22, 1097–1130, 2022. DOI: 10.5194/acp-22-1097-2022.

An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm Taylor, T. E., O’Dell, C. W., Crisp, D., Kuze, A., Lindqvist, H., Wennberg, P. O., Chatterjee, A., Gunson, M., Eldering, A., Fisher, B., Kiel, M., Nelson, R. R., Merrelli, A., Osterman, G., Chevallier, F., Palmer, P. I., Feng, L., Deutscher, N. M., Dubey, M. K., Feist, D. G., García, O. E., Griffith, D. W. T., Hase, F., Iraci, L. T., Kivi, R., Liu, C., De Mazière, M., Morino, I., Notholt, J., Oh, Y.-S., Ohyama, H., Pollard, D. F., Rettinger, M., Schneider, M., Roehl, C. M., Sha, M. K., Shiomi, K., Strong, K., Sussmann, R., Té, Y., Velazco, V. A., Vrekoussis, M., Warneke, T., and Wunch, D.: An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm, Earth Syst. Sci. Data, 14, 325–360, 2022. DOI: 10.5194/essd-14-325-2022.

OCO-2 Satellite-Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia Philip, S., Johnson, M.S., Baker, D.F., Basu, S., Tiwari, Y.K., Indira, N.K., Ramonet, M. and Poulter, B., 2020. OCO‐2 satellite‐imposed constraints on terrestrial biospheric CO2 fluxes over South Asia. Journal of Geophysical Research: Atmospheres, p.e2021JD035035. DOI:10.1029/2021JD035035

The Arctic Frost, G. V., Macander, M. J., Bhatt, U. S., Epstein, H. E., Berner, L. T., Bjerke, J. W., Forbes, B. C., Goetz, S. J., Lara, M. J., Park, T., Phoenix, G. K., Raynolds, M. K., Tømmervik, H., and Walker, D. A. 2021. Tundra greenness. Bulletin of the American Meteorological Society, 101(8, Special Supplement), S297–S303.

Tundra Greenness (Arctic Report Card: Update for 2021) Frost, G.V., Macander, M.J., Bhatt, U.S., Berner, L.T., Bjerke, J.W., Epstein, H.E., Forbes, B.C., Goetz, S.J., Lara, M.J., Park, T. and Phoenix, G.K. 2021. Tundra greenness. Arctic Report Card 2021, p.58.

U.S. Space-Based Earth Observations in 21st-Century Science Diplomacy Brosnan, I.G., K.R. Miner, and C. Miller. 2022. U.S. Space-Based Earth Observations in 21st-Century Science Diplomacy. Science & Diplomacy (AAAS Center for Science Diplomacy). February 2022 Special Issue (Online Publication).

A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A. and Nemani, R., 2022. A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations. Remote Sensing, 14(4), p.964.

January 2022

Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the southeastern Atlantic Doherty, S. J., Saide, P. E., Zuidema, P., Shinozuka, Y., Ferrada, G. A., Gordon, H., Mallet, M., Meyer, K., Painemal, D., Howell, S. G., Freitag, S., Dobracki, A., Podolske, J. R., Burton, S. P., Ferrare, R. A., Howes, C., Nabat, P., Carmichael, G. R., da Silva, A., Pistone, K., Chang, I., Gao, L., Wood, R., and Redemann, J.: Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the southeastern Atlantic, Atmos. Chem. Phys., 22, 1–46, 2022.

Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons Souri, A. H., Chance, K., Sun, K., Liu, X., and Johnson, M. S.: Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons, Atmos. Meas. Tech., 15, 41–59, 2022. DOI:10.5194/amt-15-41-2022

Biomass burning aerosol heating rates from the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) 2016 and 2017 experiments Cochrane, S. P., Schmidt, K. S., Chen, H., Pilewskie, P., Kittelman, S., Redemann, J., LeBlanc, S., Pistone, K., Segal Rozenhaimer, M., Kacenelenbogen, M., Shinozuka, Y., Flynn, C., Ferrare, R., Burton, S., Hostetler, C., Mallet, M., and Zuidema, P.: Biomass burning aerosol heating rates from the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) 2016 and 2017 experiments, Atmos. Meas. Tech., 15, 61–77, 2022.

Multi-Season Evaluation of CO2 Weather in OCO-2 MIP Models Zhang, L., Davis, K.J., Schuh, A.E., Jacobson, A.R., Pal, S., Cui, Y.Y., Baker, D., Crowell, S., Chevallier, F., Remaud, M., Liu, J., Weir, B., Philip, S., Johnson, M.S., Deng, F., Basu, S., 2021. Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models. Journal of Geophysical Research: Atmospheres, p.e2021JD035457.

Storms drive outgassing of CO2 in the subpolar Southern Ocean Sarah-Anne Nicholson, Daniel B. Whitt, Ilker Fer, Marcel D. du Plessis, Alice D. Lebéhot, Sebastiaan Swart, Adrienne J. Sutton & Pedro M. S. Monteiro, 2022, Storms drive outgassing of CO2 in the subpolar Southern Ocean. Nature Communications 13:158, 2022.

An Operational Methodology for Validating Satellite-Based Snow Albedo Measurements Using a UAV Mullen A., Sproles, E.A., Hendrikx, J., Shaw, J.A., and Gatebe, C.K.: An Operational Methodology for Validating Satellite-based Snow Albedo Measurements Using a UAV, Front. Remote Sens. 2:767593, 2022.

Validation and error estimation of AIRS MUSES CO profiles with HIPPO, ATom, and NOAA GML aircraft observations Hegarty, J. D., Cady-Pereira, K. E., Payne, V. H., Kulawik, S. S., Worden, J. R., Kantchev, V., Worden, H. M., McKain, K., Pittman, J. V., Commane, R., Daube Jr., B. C., and Kort, E. A.: Validation and error estimation of AIRS MUSES CO profiles with HIPPO, ATom, and NOAA GML aircraft observations, Atmos. Meas. Tech., 15, 205–223, 2022. DOI: 10.5194/amt-15-205-2022.