Yuhan "Douglas" Rao

Informed by the Community, for the Community: A Thematic Framework for Interoperability to Drive Greater Data Impact

Peng, G., Lubkin, S., Rao, Y., Ritchey, N., & Söding, E. (2026, January 16). Zenodo (CERN European Organization for Nuclear Research), Vol. 1.

Informed by the Community, for the Community: A Thematic Framework for Interoperability to Drive Greater Data Impact

Peng, G., Lubkin, S., Rao, Y., Ritchey, N., & Söding, E. (2026, January 16). Zenodo (CERN European Organization for Nuclear Research), Vol. 1.

Criteria for prioritizing climate & ocean data preservation

Wing, K., Blake, R. E., Diggs, S., Gum, J., Lowndes, J., Parsons, M., & Rao, Y. (2025, September 25). Criteria for prioritizing climate & ocean data preservation. Zenodo (CERN European Organization for Nuclear Research).

Development of Gridded Climate Data for CONUS using Neural Processes

Opio, R., Patel, D., & Rao, Y. (2025, December 26). (Vol. 12). Vol. 12.

Extended Reconstructed Sea Surface Temperature, Version 6 (ERSSTv6). Part I: An Artificial Neural Network Approach

Huang, B., Yin, X., Boyer, T., Liu, C., Menne, M., Rao, Y. D., … Zhang, H.-M. (2025, January 2). (Y. Rao, Ed.). Journal of Climate, Vol. 38, pp. 1105–1121.

Extended Reconstructed Sea Surface Temperature, Version 6 (ERSSTv6). Part II: Upgrades on Quality Control and Large-Scale Filter

Huang, B., Yin, X., Boyer, T., Liu, C., Menne, M., Rao, Y. D., … Zhang, H.-M. (2025, January 13). (Y. Rao, Ed.). Journal of Climate, Vol. 38, pp. 1123–1136.

Improving the reproducibility in geoscientific papers: lessons learned from a Hackathon in climate science

Coca-Castro, A., Fouilloux, A., Lourenço, R. B., McDonald, A., Rao, Y., & Hosking, J. S. (2025, January 1). Environmental Data Science, Vol. 4.

NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 6

Huang, B., Yin, X., Boyer, T., Liu, C., Menne, M., Rao, Y. D., … Zhang, H.-M. (2025, August 25). National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI).

SA-Score: Measuring Data Sharing Effort through the Lens of Open Science and the FAIR Principles

Stall, S., Bandrowski, A., Nurnberger, A., Agarwal, D., Anderson, J., Ayliffe, J., … Wyborn, L. (2025, June 2). Zenodo (CERN European Organization for Nuclear Research).

Ten simple rules for good model-sharing practices

Garcia, I. K., Erdmann, C., Gesing, S., Barton, M., Cadwallader, L., Hengeveld, G., … Rao, Y. (2025, January 10). PLoS Computational Biology, Vol. 21.

Urban complexity and digital twins: leveraging machine learning for hyper-local heat stress forecasting

Napoli, C. D., Siemen, S., Oliveira, A., Kihn, E. A., Rao, D., Webster, J. A. B., … Pappenberger, F. (2025, May 21).

AI Data Readiness Workshop

Jenkyns, R., Budac, A., Altman, E., & Rao, D. (2024, October 7). Zenodo (CERN European Organization for Nuclear Research).

AI Data Readiness Workshop

Jenkyns, R., Budac, A., Altman, E., & Rao, D. (2024, October 7). Zenodo (CERN European Organization for Nuclear Research).

ARCHIVE - NASA TOPS Open Science 101 Instructor Led Training Slides

Adams, A., Almarzouq, B., Alves Lacerda, M., Alwood, J., Alzahawi, S., Azevedo, F., … Yuen, K. (2024, July 16). Zenodo (CERN European Organization for Nuclear Research).

ARCHIVE - NASA TOPS Open Science 101 Instructor Led Training Slides

Adams, A., Almarzouq, B., Alves Lacerda, M., Alwood, J., Alzahawi, S., Azevedo, F., … Yuen, K. (2024, July 16). Zenodo (CERN European Organization for Nuclear Research).

Co-creating the future CMIP (AOGS24 Townhall)

Dingley, B., Miyakawa, T., Hoffman, F., Rao, Y., Li, Y., & Winkler, A. (2024, June 27). Zenodo (CERN European Organization for Nuclear Research).

Co-creating the future CMIP (AOGS24 Townhall)

Dingley, B., Miyakawa, T., Hoffman, F., Rao, Y., Li, Y., & Winkler, A. (2024, June 27). Zenodo (CERN European Organization for Nuclear Research).

Community-Driven Development of Tools to Improve AI-Readiness of the Open Environmental Data

Rao, Y., Redmon, R., & Khin, E. (2024, March 9).

Infrared (IR) Sounder Atmospheric Temperature and Humidity Profiles, Version 5

Matthews, J. L., Rao, Y., & Shi, L. (2024, September 16). National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI).

Making the most of CMIP data: access, analysis, and tools

Dingley, B., Li, Y., Rao, Y., Tekesa, N. W., Galytska, E., Prasad, A., … Tolhurst, G. (2024, June 27). Zenodo (CERN European Organization for Nuclear Research).

Making the most of CMIP data: access, analysis, and tools

Dingley, B., Li, Y., Rao, Y., Tekesa, N. W., Galytska, E., Prasad, A., … Tolhurst, G. (2024, June 27). Zenodo (CERN European Organization for Nuclear Research).

Preserving open data as a world heritage to secure our future

Elger, K., Kingsley, D., Inadomi, B., Raia, N., Rao, Y., Rolf, E., … Shingledecker, S. (2024, October 2).

Sustainability in Model Sharing

Rao, Y. "D. (2024, May 3). Zenodo (CERN European Organization for Nuclear Research).

Sustainability in Model Sharing

Rao, Y. "D. (2024, May 3). Zenodo (CERN European Organization for Nuclear Research).

Ten Simple Rules for Good Model-Sharing Practices

Kherroubi Garcia, I., Erdmann, C., Gesing, S., Barton, M., Cadwallader, L., Hengeveld, G., … Rao, Y. (2024, July 26). Zenodo (CERN European Organization for Nuclear Research).

Ten Simple Rules to Promote Good Model-Sharing Practices

Kherroubi Garcia, I., Erdmann, C., Gesing, S., Barton, M., Cadwallader, L., Hengeveld, G., … Rao, Y. (2024, July 5). Zenodo (CERN European Organization for Nuclear Research).

Ten Simple Rules to Promote Good Model-Sharing Practices

(2024, July 26). Open Modeling Foundation.

Towards practical artificial intelligence in Earth sciences

Sun, Z., Brink, T., Carande, W., Koren, G., Cristea, N., Jorgenson, C., … Duzgun, S. (2024, September 2). Computational Geosciences, Vol. 9.

Developing Digital Twins for Earth Systems: Purpose, Requisites, and Benefits

Rao, Y., Redmon, R., Dale, K., Haupt, S. E., Hopkinson, A., Bostrom, A., … Kihn, E. A. (2023, June 19). ArXiv (Cornell University).

Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

Hanson, B., Stall, S., Cutcher-Gershenfeld, J., Vrouwenvelder, K., Wirz, C., Rao, Y., & Peng, G. (2023, October 31). Nature, Vol. 623, pp. 28–31.

NASA TOPS Open Science 101

Adams, A., Almarzouq, B., Alves Lacerda, M., Alwood, J., Alzahawi, S., Azevedo, F., … Yuen, K. (2023, December 6). Zenodo (CERN European Organization for Nuclear Research).

NASA TOPS Open Science 101

Adams, A., Almarzouq, B., Alves Lacerda, M., Alwood, J., Alzahawi, S., Azevedo, F., … Yuen, K. (2023, December 6). Zenodo (CERN European Organization for Nuclear Research).

Opensciency - A core open science curriculum by and for the research community

Almarzouq, B., Azevedo, F., Batalha, N., Bayer, J., Bell, T., Bhogal, S., … Yehudi, Y. (2023, February 22). Zenodo.

Socio‐Environmental Determinants of Mental and Behavioral Disorders in Youth: A Machine Learning Approach

Wertis, L., Sugg, M. M., Runkle, J. D., & Rao, D. (2023, September 1). GeoHealth, Vol. 7.

Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School

McGovern, A., Gagne, D. J., Wirz, C. D., Ebert-Uphoff, I., Bostrom, A., Rao, Y., … Peterson, T. (2023, April 14). Bulletin of the American Meteorological Society, Vol. 104, pp. E1222–E1231.

A review of Earth Artificial Intelligence

Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S. M., Wang, J., Lin, C., … John, A. (2022, January 5). Computers & Geosciences, Vol. 159.

Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science?

Jain, S., Mindlin, J., Koren, G., Gulizia, C., Steadman, C., Langendijk, G. S., … Rabanal, V. (2022, July 18). AGU Advances, Vol. 3.

Bias of area counted from sub-pixel map: Origin and correction

Dong, Q., Chen, X., Chen, J., Yin, D., Zhang, C., Xu, F., … Stein, A. (2022, September 17). Science of Remote Sensing, Vol. 6.

ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections

Watson‐Parris, D., Rao, Y., Olivié, D., Seland, Ø., Nowack, P., Camps‐Valls, G., … Roesch, C. (2022, September 15). Journal of Advances in Modeling Earth Systems, Vol. 14.

Earth and Space Science Informatics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

Hills, D. J., Damerow, J. E., Ahmmed, B., Catolico, N., Chakraborty, S., Coward, C. M., … Yao, T. (2022, February 25). Earth and Space Science, Vol. 9.

Opensciency - A core open science curriculum by and for the research community

Almarzouq, B., Azevedo, F., Batalha, N., Bayer, J., Bell, T., Bhogal, S., … Yehudi, Y. (2022, January 1). JuSER Publikationsportal.

Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School 2022

McGovern, A., Gagne, D., Ebert-Uphoff, I., Bostrom, A., Wirz, C., Rao, D., … Haynes, K. (2022, June 30). Zenodo (CERN European Organization for Nuclear Research).

Warming does not delay the start of autumnal leaf coloration but slows its progress rate

Jiang, N., Shen, M., Ciais, P., Campioli, M., Peñuelas, J., Körner, C., … Zhao, W. (2022, August 14). Global Ecology and Biogeography, Vol. 8.

A science paradigm shift is needed for Earth and Environmental Systems Sciences (EESS) to integrate Knowledge-Guided Artificial Intelligence (KGAI) and lead new EESS-KGAI theories

Voisin, N., Bennett, A., Fang, Y., Nearing, G., Nijssen, B., & Rao, Y. (2021, April 15).

Adopting “Difference-in-Differences” Method to Monitor Crop Response to Agrometeorological Hazards with Satellite Data: A Case Study of Dry-Hot Wind

Wang, S., Rao, Y., Chen, J., Liu, L., & Wang, W. (2021, January 29). Remote Sensing, Vol. 13.

Can changes in autumn phenology facilitate earlier green-up date of northern vegetation?

SHEN, M., JIANG, N., PENG, D., Yuhan, R. A. O., HUANG, Y., FU, Y. H., … TANG, Y. (2020, June 17). Agricultural and Forest Meteorology, Vol. 291.

Response of winter wheat to spring frost from a remote sensing perspective: Damage estimation and influential factors

Wang, S., Chen, J., Rao, Y., Liu, L., Wang, W., & Dong, Q. (2020, August 27). ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 168, pp. 221–235.

Short-term effects of specific humidity and temperature on COVID-19 morbidity in select US cities

Runkle, J. D., Sugg, M. M., Leeper, R. D., Rao, Y., Matthews, J. L., & Rennie, J. J. (2020, June 9). The Science of The Total Environment, Vol. 740, p. 140093.

Enterprise LST Algorithm Development and Its Evaluation with NOAA 20 Data

Liu, Y., Yu, Y., Yu, P., Wang, H., & Rao, Y. (2019, August 24). Remote Sensing, Vol. 11, p. 2003.

Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau

Rao, Y., Liang, S., Wang, D., Yu, Y., Song, Z., Zhou, Y., … Xu, B. (2019, October 16). Remote Sensing of Environment, Vol. 234, p. 111462.

A practical sampling method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments

Li, Y., Chen, J., & Rao, Y. (2018, August 16). ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 144, pp. 379–389.

Land Surface Air Temperature Data Are Considerably Different Among BEST‐LAND, CRU‐TEM4v, NASA‐GISS, and NOAA‐NCEI

Rao, Y., Liang, S., & Yu, Y. (2018, May 28). Journal of Geophysical Research Atmospheres, Vol. 123, pp. 5881–5900.

A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index

Chen, J., Rao, Y., Shen, M., Wang, C., Zhou, Y., Ma, L., … Yang, Xi. (2016, February 5). IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, pp. 3436–3449.

Land cover change detection by integrating object-based data blending model of Landsat and MODIS

Lu, M., Chen, J., Tang, H., Rao, Y., Yang, P., & Wu, W. (2016, July 29). Remote Sensing of Environment, Vol. 184, pp. 374–386.

A Method for Screening Climate Change-Sensitive Infectious Diseases

Wang, Y., Rao, Y., Wu, X., Zhao, H., & Chen, J. (2015, January 14). International Journal of Environmental Research and Public Health, Vol. 12, pp. 767–783.

A quantitative assessment of multiple scattering in plant-soil mixtures and the implications on nonlinear spectral unmixing models

Wang, J., Cao, X., Chen, J., Liu, D., & Rao, Y. (2015, July 1). 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images

Rao, Y., Zhu, X., Chen, J., & Wang, J. (2015, June 16). Remote Sensing, Vol. 7, pp. 7865–7891.