LoCO Working Group Publications

LoCo Overview – General Information

• Santanello, J. A., P. A. Dirmeyer, C. R. Ferguson, K. L. Findell, A. B. Tawfik, A. Berg, M. B. Ek, P. Gentine, B. Guillod, C. van Heerwaarden, J. Roundy, and V. Wulfmeyer. (2018).Land–Atmosphere Interactions: The LoCo Perspective. Bulletin of the American Meteorological Society, 99(6), 1253–1272. https://doi.org/10.1175/BAMS-D-17-0001.1

Climate, S2S, and Monsoon Applications

• Berg, A., B. R. Lintner, K. L. Findell, S. I. Seneviratne, B. van den Hurk, F. Cheruy, A. Ducharne, S. Hagemann, D. Lawrence, S. Malyshev, A. Meier, and P. Gentine. (2015). Interannual coupling between summertime surface temperature and precipitation: processes and implications for climate change. Journal of Climate, 28(3), 1308–1328. https://doi.org/10.1175/JCLI-D-14-00324.1
• Berg, A., K. L. Findell, B. Lintner, A. Giannini, S. I. Seneviratne, B. van den Hurk, … P. C. D. Milly. (2016). Land–atmosphere feedbacks amplify aridity increase over land under global warming. Nature Climate Change, 6(9), 869–874. https://doi.org/10.1038/nclimate3029
• Berg, A., B. Lintner, K. L. Findell, and A. Giannini. (2017). Soil moisture influence on seasonality and large-scale circulation in simulations of the West African Monsoon. Journal of Climate, 30(7), 2295–2317. doi: 10.1175/JCLI-D-15-0877.1
• Berg, A., and J. Sheffield. (2019). Evapotranspiration Partitioning in CMIP5 Models: Uncertainties and Future Projections. Journal of Climate, 32(10), 2653–2671. https://doi.org/10.1175/JCLI-D-18-0583.1
• Berg, A., and J. Sheffield. (2019b). Historic and Projected Changes in Coupling Between Soil Moisture and Evapotranspiration (ET) in CMIP5 Models Confounded by the Role of Different ET Components. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2018JD029807
• Bombardi, R. J., A. B. Tawfik, L. Marx, P. A. Dirmeyer, and J. L. Kinter III. (2019). Convection Initiation in Climate Models Using the Heated Condensation Framework: A Review. Springer Atmospheric Sciences, 51–70. https://doi.org/10.1007/978-981-13-3396-5_3
• Chen, L. and P.A. Dirmeyer. (2017). Impacts of land use/land cover change on afternoon precipitation over North America. Journal of Climate, 30(6), 2121-2140. doi: 10.1175/JCLI-D-16-0589.1
• Chen, L., P.A. Dirmeyer, A. Tawfik, and D.M. Lawrence. (2017). Sensitivities of land cover-precipitation feedback to convective triggering. Journal of Hydrometeorology, 18(8), 2265–2283. https://doi.org/10.1175/JHM-D-17-0011.1
• Couvreux, F., R. Roehrig, C. Rio, C., M.-P. Lefebvre, M. Caian, T. Komori, …, P. Gentine. (2015). Representation of daytime moist convection over the semi-arid Tropics by parametrizations used in climate and meteorological models. Quarterly Journal of the Royal Meteorological Society, 141(691), 2220–2236. https://doi.org/10.1002/qj.2517
• Dirmeyer, P.A., G. Fang, Z. Wang, P. Yadav, and A. Milton. (2014). Climate change and sectors of the surface water cycle In CMIP5 projections. Hydrology and Earth System Sciences, 18(12), 5317–5329. https://doi.org/10.5194/hess-18-5317-2014
• Dirmeyer, P.A., Z. Wang, M.J. Mbuh, and H.E. Norton. (2014). Intensified land surface control on boundary layer growth in a changing climate. Geophysical Research Letters, 41(4), 1290–1294. https://doi.org/10.1002/2013GL058826.
• Dirmeyer, P. A., P. Gentine, M. B. Ek, and G. Balsamo. (2019). Land Surface Processes Relevant to Sub-seasonal to Seasonal (S2S) Prediction. Sub-Seasonal to Seasonal Prediction, 165–181. https://doi.org/10.1016/B978-0-12-811714-9.00008-5
• Ferguson, C.R., M. Pan, and T. Oki. (2018). The Effect of Global Warming on Future Water Availability: CMIP5 Synthesis. Water Resources Research, 54(10), 7791–7819. https://doi.org/10.1029/2018WR022792
• Findell, K. L., A. Berg, P. Gentine, J. P. Krasting, B. R. Lintner, S. Malyshev, … E. Shevliakova. (2017). The impact of anthropogenic land use and land cover change on regional climate extremes. Nature Communications, 8(1). https://doi.org/10.1038/s41467-017-01038-w
• Halder, S., P. A. Dirmeyer, L. Marx and J. L. Kinter III. (2018). Impact of Land Surface Initialization and Land-Atmosphere Coupling on the Prediction of the Indian Summer Monsoon with the CFSv2. Frontiers in Environmental Science, 5. https://doi.org/10.3389/fenvs.2017.00092
• Moon, H., Guillod, B. P., Gudmundsson, L., & Seneviratne, S. I. (2019). Soil Moisture Effects on Afternoon Precipitation Occurrence in Current Climate Models. Geophysical Research Letters, 46(3), 1861–1869. https://doi.org/10.1029/2018GL080879
• Nair, U., R. Pielke, M. Shepherd, J.A. Santanello, et al., 2017, Brown Ocean Effect on the Louisiana August 2016 Extreme Flooding Event. Nature Climate Change (submitted May 2017).
• Santanello, J.A., P.A. Dirmeyer, and J. Roundy. (2015). Quantifying the Land–Atmosphere Coupling Behavior in Modern Reanalysis Products over the U.S. Southern Great Plains. Journal of Climate, 28(14), 5813–5829. https://doi.org/10.1175/JCLI-D-14-00680.1
• Tawfik, A. B., D.M. Lawrence, and P.A. Dirmeyer. (2017). Representing subgrid convective initiation in the C ommunity E arth S ystem M odel. Journal of Advances in Modeling Earth Systems, 9(3), 1740–1758. https://doi.org/10.1002/2016MS000866
• Tölle, M. H., S. Engler, H.-J. Panitz. (2017). Impact of Abrupt Land Cover Changes by Tropical Deforestation on Southeast Asian Climate and Agriculture. Journal of Climate, 30(7), 2587–2600. https://doi.org/10.1175/JCLI-D-16-0131.1
• Tölle, M. H., M. Breil, K. Radtke, H.-J. Panitz. (2018). Sensitivity of European Temperature to Albedo Parameterization in the Regional Climate Model COSMO-CLM Linked to Extreme Land Use Changes. Frontiers in Environmental Science, 6. https://doi.org/10.3389/fenvs.2018.00123
• Zhou, Sha, Bofu Yu, Benjamin R. Lintner, Kirsten L. Findell, Yao Zhang, April 2023: Projected increase in global runoff dominated by land surface changes. Nature Climate Change, DOI:10.1038/s41558-023-01659-8.
• Zhou, Sha, A Park Williams, Benjamin R Lintner, Kirsten L Findell, Trevor F Keenan, Yao Zhang, and Pierre Gentine, September 2022: Diminishing seasonality of subtropical water availability in a warmer world dominated by soil moisture–atmosphere feedbacks. Nature Communications, 13, 5756, DOI:10.1038/s41467-022-33473-9.

Clouds, Radiation, Biosphere, and Anthropocene

• Betts, A. K., R. Desjardins, A. C. M. Beljaars, and A. B. Tawfik. (2015). Observational study of land-surface-cloud-atmosphere coupling on daily timescales. Frontiers in Earth Science, 3. https://doi.org/10.3389/feart.2015.00013
• Betts, A. K., and A. B. Tawfik. (2016). Annual Climatology of the Diurnal Cycle on the Canadian Prairies. Frontiers in Earth Science, 4. https://doi.org/10.3389/feart.2016.00001
• Betts, A. K., A. B. Tawfik and R. L. Desjardins. (2017). Revisiting Hydrometeorology Using Cloud and Climate Observations. Journal of Hydrometeorology, 18(4), 939–955. https://doi.org/10.1175/JHM-D-16-0203.1
• Burrows, D. A., C. R. Ferguson, M. Campbell, G. Xia and L. Bosart. (2019). An objective classification and analysis of upper-level coupling to the Great Plains low-level jet over the 20th century. Journal of Climate. https://doi.org/10.1175/JCLI-D-18-0891.1.
• Chen, L., and P. A. Dirmeyer. (2019). Global observed and modelled impacts of irrigation on surface temperature. International Journal of Climatology, 39(5), 2587–2600. https://doi.org/10.1002/joc.5973.
• Hudd, E. Fact Finders: How long is the water cycle?. North Mankato, Minnesota, USA. Capstone Press, 2019. ISBN 978-1-5435-7294-0.
• Konings, A., and P. Gentine. (2016). Global variations in ecosystem-scale isohydricity. Global Change Biology, 23(2), 891–905. https://doi.org/10.1111/gcb.13389
• Konings, A., P. Williams, and P. Gentine. (2017). Sensitivity of grassland productivity to aridity controlled by stomatal and xylem regulation. Nature Geoscience, 10(4), 284–288. https://doi.org/10.1038/ngeo2903
• Osman, M. K., D. D. Turner, T. Heus, and V. Wulfmeyer, 2019: Validating the Water Va-por Variance Similarity Relationship in the Interfacial Layer Using Observations and Large-eddy Simulations. Journal of Geophysical Research: Atmospheres (submitted)
• Perez, M., R. Perez, C. R. Ferguson, and J. Schlemmer. (2018). Deploying effectively dispatchable PV on reservoirs: Comparing floating PV to other renewable technologies. Solar Energy, 174, 837–847. https://doi.org/10.1016/j.solener.2018.08.088

LoCo Modeling, Metrics, and Process Chain Studies

• Bosman, P., C. van Heerwaarden, and A. Teuling. (2019). Sensible heating as a potential mechanism for enhanced cloud formation over temperate forest. Quarterly Journal of the Royal Meteorological Society, 145(719), 450–468. https://doi.org/10.1002/qj.3441
• Branch, O., and V. Wulfmeyer, 2019, Can desert plantations enhance rainfall? Accepted for publication in Proceedings of the National Academy of Sciences, USA.
• Campbell, M., C. R. Ferguson, *D. A. Burrows and L. Bosart, 2019, Potential effects of regional soil moisture anomalies on the Great Plains low-level jet, Mon. Wea. Rev., under minor revision.
• Dirmeyer, P. A., and S. Halder. (2016). Sensitivity of Numerical Weather Forecasts to Initial Soil Moisture Variations in CFSv2. Weather and Forecasting, 31(6), 1973–1983. https://doi.org/10.1175/WAF-D-16-0049.1
• Dirmeyer, P. A., S. Halder, and R. Bombardi. (2018). On the Harvest of Predictability From Land States in a Global Forecast Model. Journal of Geophysical Research: Atmospheres, 123(23). https://doi.org/10.1029/2018JD029103
• Duan, Suqin Q., Kirsten L. Findell, Stephan A. Fueglistaler 2023: Coherent Mechanistic Patterns of Tropical Land Hydroclimate Changes. GRL, 50(7), https://doi.org/10.1029/2022GL102285
• Findell, K. L., P. Gentine, B. R. Lintner, and B. P. Guillod. (2015). Data Length Requirements for Observational Estimates of Land-Atmosphere Coupling Strength. Journal of Hydrometeorology, 16(4), 1615-1635. https://doi.org/10.1175/JHM-D-14-0131.1.
• Fowler, M. D., R. B. Neale, J. S. Simon, D. M. Lawrence, N. W. Chaney, P. A. Dirmeyer, V. E. Larson, M. Huang, and J. Truesdale,2023: Assessing the atmospheric response to subgrid surface heterogeneity in CESM2. J. Adv. Mod. Earth Sys., (in revision).
• Gentine, P., A. Chhang, A. Rigden, and G. Salvucci. (2016). Evaporation estimates using weather station data and boundary layer theory. Geophysical Research Letters, 43(22), 11,661-11,670. https://doi.org/10.1002/2016GL070819
• Giles, J. A., C. G. Menéndez, and R. C. Ruscica, 2022: Nonlocal Impacts of Soil Moisture Variability in South America: Linking Two Land–Atmosphere Coupling Hot Spots. J. Climate, 36, 227–242. https://doi.org/10.1175/JCLI-D-21-0510.1
• Guillod, B. P., B. Orlowsky, D. Miralles, A. J. Teuling, P. D. Blanken, N. Buchmann, … S. I. Seneviratne. (2014). Land-surface controls on afternoon precipitation diagnosed from observational data: uncertainties and confounding factors. Atmospheric Chemistry and Physics, 14(16), 8343–8367. https://doi.org/10.5194/acp-14-8343-2014.
• Guillod, B. P., P. Benoit, B. Orlowsky, D. G. Miralles, A. J. Teuling, and S. I. Seneviratne. (2015). Reconciling spatial and temporal soil moisture effects on afternoon rainfall. Nature Communications, 6(1). https://doi.org/10.1038/ncomms7443
• Hay-Chapman, F. M., and P. A. Dirmeyer, 2023: A novel method for diagnosing land-atmosphere coupling sensitivity in a single-column model. J. Hydrometeor., (submitted).
• Hsu, H. and P. A. Dirmeyer, 2022: Deconstructing the soil moisture-latent heat flux relationship by the span of coupling regimes and nonlinearity within the sensitive regime. J. Hydrometeor., doi: 10.1175/JHM-D-21-0224.1 (early online release)
• Hsu, H. and P. A. Dirmeyer, 2022: Deconstructing the soil moisture-latent heat flux relationship by the span of coupling regimes and nonlinearity within the sensitive regime. J. Hydrometeor., 23, 1041-1057. doi: 10.1175/JHM-D-21-0224.1.
• Hsu H., and P. A. Dirmeyer, 2023: Soil moisture-evaporation coupling shifts into new gears under increasing CO2. Nature Comm., 14, 1162 doi: 10.1038/s41467-023-36794-5
• Hsu, H., and P. A. Dirmeyer, 2023: Uncertainty in projected critical soil moisture values in CMIP6 affects the interpretation of a more moisture-limited world. Earth’s Future, (in revision)
• Jach, L. L., Schwitalla, T., Branch, O., Warrach-Sagi, K., and Wulfmeyer, V.: Sensitivity of land-atmosphere coupling strength to perturbations of early-morning temperature and moisture profiles in the European summer, Earth Syst. Dynam. Discuss. (under review).
• Krakauer, N. Y., M. J. Puma, B. I. Cook, P. Gentine, and L. Nazarenko. (2016). Ocean–atmosphere interactions modulate irrigation’s climate impacts. Earth System Dynamics, 7(4), 863–876. https://doi.org/10.5194/esd-7-863-2016
• Kumar, S. V., P. A. Dirmeyer, C. D. Peters-Lidard, and R. Bindlish. (2018). Information theoretic evaluation of satellite soil moisture retrievals. Remote Sensing of Environment, 204, 392–400. https://doi.org/10.1016/j.rse.2017.10.016
• Lawston, P. M., J. A. Santanello, T. E. Franz, and M. Rodell. (2017). Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets. Hydrology and Earth System Sciences, 21(6), 2953–2966. https://doi.org/10.5194/hess-21-2953-2017
• Lintner, B. R., P. Gentine, K. L. Findell, and G. D. Salvucci. (2015). The Budyko and complementary relationships in an idealized model of large-scale land–atmosphere coupling. Hydrology and Earth System Sciences, 19(5), 2119–2131. https://doi.org/10.5194/hess-19-2119-2015
• Merlin, O., V. G. Stefan, A. Amazirh, A. Chanzy, E. Ceschia, S. Er-Raki, … S. Khabba. (2016). Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta-analysis approach. Water Resources Research, 52(5), 3663–3684. https://doi.org/10.1002/2015WR018233
• Mol, W. B., van Stratum, B. J. H., Knap, W. H., & van Heerwaarden, C. C. (2023). Reconciling observations of solar irradiance variability with cloud size distributions. Journal of Geophysical Research: Atmospheres, 128, e2022JD037894. https://doi.org/10.1029/2022JD037894
• Petrova, I. Y., C. C. van Heerwaarden, C. Hohenegger, and F. Guichard. (2018). Regional co-variability of spatial and temporal soil moisture–precipitation coupling in North Africa: an observational perspective. Hydrology and Earth System Sciences, 22(6), 3275–3294. https://doi.org/10.5194/hess-22-3275-2018
• Petrova, I. Y., D. G. Miralles, C. C. Van Heerwaarden, H. Wouters. (2018). Relation between Convective Rainfall Properties and Antecedent Soil Moisture Heterogeneity Conditions in North Africa. Remote Sensing, 10(6), 969. https://doi.org/10.3390/rs10060969
• Phillips, T., S. Klein, H-Y Ma, Q. Tang, S. Xie, I. Williams, M. Torn, J. A. Santanello, D. Cook. (2017). Using ARM Observations to Evaluate Climate Model Simulations of Land-Atmosphere Coupling on the U.S. Southern Great Plains. Journal of Geophysical Research: Atmospheres, 122(21), 11,524-11,548. https://doi.org/10.1002/2017JD027141
• Rieck M., C. Hohenegger, P. Gentine. (2015). The effect of moist convection on thermally induced mesoscale circulations. Quarterly Journal of the Royal Meteorological Society, 141(691), 2418–2428. https://doi.org/10.1002/qj.2532
• Roundy, J. K., and E. F. Wood. (2015). The attribution of land-atmosphere interactions on the seasonal predictability of drought. Journal of Hydrometeorology, 16(2), 793–810. doi:10.1175/JHM-D-14-0121.1
• Santanello Jr., J. A., P. M. Lawston, S. V. Kumar, and E. Dennis. (2019). Understanding the Impacts of Soil Moisture Initial Conditions on NWP in the Context of Land–Atmosphere Coupling. Journal of Hydrometeorology, 20(5), 793–819. https://doi.org/10.1175/JHM-D-18-0186.1
• Seo, E., and P. A. Dirmeyer, 2022: Improving the ESA CCI daily soil moisture time series with physically-based land surface model datasets using a Fourier time-filtering method. J. Hydrometeor., 23, 473–489. doi: 10.1175/JHM-D-21-0120.1
• Seo, E., and P. A. Dirmeyer, 2022: 2022: Understanding the diurnal cycle of land-atmosphere interactions from flux site observations. Hydrol. Earth Sys. Sci., 26, 5411-5429. doi: 10.5194/hess-26-5411-2022
• Tian, J., Zhang, Y., Klein, S. A., Öktem, R., & Wang, L. (2022). How does land cover and its heterogeneity length scales affect the formation of summertime shallow cumulus clouds in observations from the US Southern Great Plains? Geophysical Research Letters, 49, e2021GL097070. https://doi.org/10.1029/2021GL097070
• Tawfik, A. B., P. A. Dirmeyer, and J. A. Santanello. (2015). The heated condensation framework. Part I: Description and Southern Great Plains case study. Journal of Hydrometeorology, 16(5), 1929–1945. https://doi.org/10.1175/JHM-D-14-0117.1
• Tawfik, A. B., P. A. Dirmeyer, and J. A. Santanello. (2015b). The heated condensation framework. Part II: Climatological behavior of convective initiation and land-atmosphere coupling over the continental United States. Journal of Hydrometeorology, 16(5), 1946–1961. https://doi.org/10.1175/JHM-D-14-0118.1
• Turner, D. D., V. Wulfmeyer, A. Behrendt, T. A. Bonin, A. Choukulkar, R. Newsom, W. A. Brewer and D. R. Cook. (2018). Response of the Land‐Atmosphere System Over North‐Central Oklahoma During the 2017 Eclipse. Geophysical Research Letters, 45(3), 1668–1675. https://doi.org/10.1002/2017GL076908
• Wakefield, R. A., J. B. Basara, J. C. Furtado, B. G Illston, C. R. Ferguson and P. M. Klein. (2019). A Modified Framework for Quantifying Land–Atmosphere Covariability during Hydrometeorological and Soil Wetness Extremes in Oklahoma. Journal of Applied Meteorology and Climatology, 58(7), 1465–1483. https://doi.org/10.1175/JAMC-D-18-0230.1
• Welty, J., and X. Zeng. (2018). Does Soil Moisture Affect Warm Season Precipitation Over the Southern Great Plains? Geophysical Research Letters, 45(15), 7866–7873. https://doi.org/10.1029/2018GL078598
• Yin, Zun, Kirsten L Findell, Paul A Dirmeyer, Elena Shevliakova, Sergey Malyshev, Khaled Ghannam, Nina Raoult, and Zhihong Tan, February 2023: Daytime-only mean data enhance understanding of land–atmosphere coupling. Hydrology and Earth System Sciences, 27(4), https://hess.copernicus.org/articles/27/861/2023/

Observations and Field Campaigns

• Adam, S., A. Behrendt, T. Schwitalla, E. Hammann, and V. Wulfmeyer. (2016). First assimilation of temperature lidar data into an NWP model: impact on the simulation of the temperature field, inversion strength and PBL depth. Quarterly Journal of the Royal Meteorological Society, 142(700), 2882–2896. https://doi.org/10.1002/qj.2875
• Chen, L., P. A. Dirmeyer, Z. Guo and N. M. Schultz. (2018). Pairing FLUXNET sites to validate model representations of land-use/land-cover change. Hydrology and Earth System Sciences, 22(1), 111–125. https://doi.org/10.5194/hess-22-111-2018
• Cheng, Y., C. Sayde, J. Selker, and P. Gentine. (2017). Failure of Taylor’s hypothesis in the atmospheric surface layer and its correction for eddy-covariance measurements. Geophysical Research Letters, 44(9), 4287–4295. https://doi.org/10.1002/2017GL073499
• Dirmeyer, P. A., L. Chen, J. Wu, C.-S. Shin, B. Huang, B. Cash, M. Bosilovich, S. Mahanama, R. D. Koster, J. A. Santanello Jr., M. B. Ek, G. Balsamo, E. Dutra and D. M. Lawrence. (2018). Verification of Land–Atmosphere Coupling in Forecast Models, Reanalyses, and Land Surface Models Using Flux Site Observations. Journal of Hydrometeorology, 19(2), 375–392. https://doi.org/10.1175/JHM-D-17-0152.1
• Knist, S., K. Goergen, E. Buonomo, O. B. Christensen, A. Colette, R. M. Cardoso, … C. Simmer. (2017). Land-atmosphere coupling in EURO-CORDEX evaluation experiments. Journal of Geophysical Research: Atmospheres, 122(1), 79–103. https://doi.org/10.1002/2016JD025476
• Lange, D., A. Behrendt, V. Wulfmeyer, 2019: Operational, Eye-safe, 24/7 Tropospheric Water Vapor and Temperature Raman Lidar with Turbulence Resolution During Daytime. In preparation for submission to Journal of Geophysical Research .
• Lareau, N. P., Y. Zhang and S. A. Klein. (2018). Observed Boundary Layer Controls on Shallow Cumulus at the ARM Southern Great Plains Site. Journal of the Atmospheric Sciences, 75(7), 2235–2255. https://doi.org/10.1175/JAS-D-17-0244.1
• Lee, J., Y. Zhang, and S. A. Klein. (2019). The Effect of Land Surface Heterogeneity and Background Wind on Shallow Cumulus Clouds and the Transition to Deeper Convection. Journal of the Atmospheric Sciences, 76(2), 401–419. https://doi.org/10.1175/JAS-D-18-0196.1
• McColl, K, G. Katul, C. van Heerwaarden, P. Gentine, D. Entekhabi. (2017). Role of large eddies in the breakdown of the Reynolds analogy in an idealized mildly unstable atmospheric surface layer. Quarterly Journal of the Royal Meteorological Society, 143(706), 2182–2197. https://doi.org/10.1002/qj.3077
• Milovac, J., K. Warrach-Sagi, A. Behrendt, F. Späth, J. Ingwersen, and V. Wulfmeyer. (2016). Investigation of PBL schemes combining the WRF model simulations with scanning water vapor differential absorption lidar measurements. Journal of Geophysical Research: Atmospheres, 121(2), 624–649. https://doi.org/10.1002/2015JD023927
• Späth, F., A. Behrendt, S. K. Muppa, S. Metzendorf, A. Riede, and V. Wulfmeyer. (2016). 3-D water vapor field in the atmospheric boundary layer observed with scanning differential absorption lidar. Atmospheric Measurement Techniques, 9(4), 1701–1720. https://doi.org/10.5194/amt-9-1701-2016
• Tang, Q., S. Xie, Y. Zhang, T. Phillips, J. A. Santanello, D. Cook, L. Riihimaki, … K. Gaustad. (2018). Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains. Journal of Geophysical Research: Atmospheres, 123(15), 7867–7882. https://doi.org/10.1029/2018JD028463
• Tang, S., S. Xie, M. Zhang, Q. Tang, Y. Zhang, S. A. Klein, D. R. Cook, …, R. C. Sullivan. (2019). Differences in Eddy‐Correlation and Energy‐Balance Surface Turbulent Heat Flux Measurements and Their Impacts on the Large‐Scale Forcing Fields at the ARM SGP Site. Journal of Geophysical Research: Atmospheres, 124(6), 3301–3318. https://doi.org/10.1029/2018JD029689
• Wulfmeyer, V., R. M. Hardesty, D. D. Turner, A. Behrendt, M. P. Cadeddu, P. Di Girolamo, … F. Zus. (2015). A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles. Reviews of Geophysics, 53(3), 819–895. https://doi.org/10.1002/2014RG000476
• Wulfmeyer, V., S. K. Muppa, A. Behrendt, E. Hammann, F. Späth, Z. Sorbjan, … R. M. Hardesty. (2016). Determination of Convective Boundary Layer Entrainment Fluxes, Dissipation Rates, and the Molecular Destruction of Variances: Theoretical Description and a Strategy for Its Confirmation with a Novel Lidar System Synergy. Journal of the Atmospheric Sciences, 73(2), 667–692. https://doi.org/10.1175/JAS-D-14-0392.1
• Wulfmeyer, V., D. D. Turner, B. Baker, R. Banta, A. Behrendt, T. Bonin, … T. Weckwerth. (2018). A New Research Approach for Observing and Characterizing Land–Atmosphere Feedback. Bulletin of the American Meteorological Society, 99(8), 1639–1667. https://doi.org/10.1175/BAMS-D-17-0009.1

Remote Sensing and Assimilation Applications

• Seo, E., and P. A. Dirmeyer, 2022: Improving the ESA CCI daily soil moisture time series with physically-based land surface model datasets using a Fourier time-filtering method. J. Hydrometeor., 23, 473–489. doi: 10.1175/JHM-D-21-0120.1.
• Vergopolan, N., J. Sheffield , N. Chaney, M. Pan, H. Beck, C.R. Ferguson, L. Torres-Rojas, F. Eigenbrod, W. Crow and E.F. Wood (2022), High-resolution soil moisture data reveal complex multi-scale spatial variability across the United States, Geophysical Research Letters, 49, e2022GL098586, https://doi.org/10.1029/2022GL098586.
• Wakefield, R.A., D.D. Turner, J.B. Basara, 2021: Evaluation of a Land–Atmosphere Coupling Metric Computed from a Ground-Based Infrared Interferometer. J. Hydrometeor., 22, 2073-2087, https://doi.org/10.1175/JHM-D-20-0303.1.

Satellite Applications

• Balsamo, G., A. Agusti-Panareda, C. Albergel, G. Arduini, A. Beljaars, J. Bidlot, … X. Zeng. (2018). Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing, 10(12), 2038. https://doi.org/10.3390/rs10122038
• Di Girolamo, P., A. Behrendt, V. Wulfmeyer. (2018). Space-borne profiling of atmospheric thermodynamic variables with Raman lidar: performance simulations. Optics Express, 26(7), 8125. https://doi.org/10.1364/OE.26.008125
• Dirmeyer, P. A., and H. E. Norton. (2018). Indications of Surface and Sub-Surface Hydrologic Properties from SMAP Soil Moisture Retrievals. Hydrology, 5(3), 36. https://doi.org/10.3390/hydrology5030036
• Kumar, S. V., P. A. Dirmeyer, C. D. Peters-Lidard, and R. Bindlish, and J. Bolten. (2018b). Information theoretic evaluation of satellite soil moisture retrievals. Remote Sensing of Environment, 204, 392–400. https://doi.org/10.1016/j.rse.2017.10.016
• Roundy, J. K., and J. A. Santanello. (2017). Utility of Satellite Remote Sensing for Land–Atmosphere Coupling and Drought Metrics. Journal of Hydrometeorology, 18(3), 863–877. https://doi.org/10.1175/JHM-D-16-0171.1

Weather and Extremes

• Benson, D. O., and P. A. Dirmeyer, 2023: The soil moisture – surface flux relationship as a factor for extreme heat predictability in subseasonal to seasonal forecasts. J. Climate, (in revision).
• Chen, L. and P. A. Dirmeyer. (2018). The relative importance among anthropogenic forcings of land use/land cover change in affecting temperature extremes. Climate Dynamics, 52(3–4), 2269–2285. https://doi.org/10.1007/s00382-018-4250-z
• Dirmeyer, P. A., and S. Halder. (2017). Application of the Land–Atmosphere Coupling Paradigm to the Operational Coupled Forecast System, Version 2 (CFSv2). Journal of Hydrometeorology, 18(1), 85–108. https://doi.org/10.1175/JHM-D-16-0064.1
• Dirmeyer, P. A., R. S. S. Mantripragada, B. A. Gay and D. K. D. Klein, 2022: Evolution of land surface feedbacks on extreme heat – adapting existing coupling metrics to a changing climate. Front. Environ. Sci., 15, doi: 10.3389/fenvs.2022.949250.
• Ford, T. W., P. A. Dirmeyer and D. O. Benson. (2018). Evaluation of heat wave forecasts seamlessly across subseasonal timescales. npj Climate and Atmospheric Science, 1(1). https://doi.org/10.1038/s41612-018-0027-7
• Gentine P., A. Garelli, S. Park, J. Nie, G. Torri, and Z. Kuang Z. (2016). Role of surface heat fluxes underneath cold pools. Geophysical Research Letters, 43(2), 874–883. https://doi.org/10.1002/2015GL067262
• Lawston, P. M., J. A. Santanello, B. F. Zaitchik, and M. Rodell. (2015). Impact of Irrigation Methods on Land Surface Model Spinup and Initialization of WRF Forecasts. Journal of Hydrometeorology, 16(3), 1135–1154. https://doi.org/10.1175/JHM-D-14-0203.1
• Santanello, J. A., S. V. Kumar, C. D. Peters-Lidard, and P. M. Lawston. (2016). Impact of Soil Moisture Assimilation on Land Surface Model Spinup and Coupled Land–Atmosphere Prediction. Journal of Hydrometeorology, 17(2), 517–540. https://doi.org/10.1175/JHM-D-15-0072.1.
• Shin, C.-S., P. A. Dirmeyer and B. Huang, 2023: A joint approach using correlation and mutual information to study land and ocean drivers of drought over CONUS: Methodology. J. Climate, 36, 2795-2814, doi: 10.1175/JCLI-D-22-0429.1.
• Schumacher, D. L., J. Keune, P. A. Dirmeyer and D. G. Miralles, 2022: Drought self-propagation in drylands through moisture recycling. Nature Geosci., 15, 262-268, doi: 10.1038/s41561-022-00912-7.
• Wouters, H., J. Keune, I. Petriva, C. van Heerwaarden, A. Teuling, J. Pal, J. Vila-Guerau, and D. Miralles, 2022: Soil drought can mitigate deadly heat stress thankns to a reduction of air humidity. Science Advances, 8, DOI: 10.1126/sciadv.abe6653.
• Wu, J., and P. A. Dirmeyer, 2019a: Drought demise attribution over CONUS. Part I: Development of a drought demise framework using Earth system model output. Journal of Geophysical Research (submitted).
• Wu, J., and P. A. Dirmeyer, 2019b: Drought demise attribution over CONUS. Part II: Application and representativeness test. Journal of Geophysical Research (submitted).