{"id":23,"date":"2017-01-25T15:12:59","date_gmt":"2017-01-25T23:12:59","guid":{"rendered":"http:\/\/labs.wsu.edu\/hydroinformatics\/?page_id=23"},"modified":"2020-09-17T11:32:05","modified_gmt":"2020-09-17T18:32:05","slug":"publications","status":"publish","type":"page","link":"https:\/\/labs.wsu.edu\/hydroclimatology\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
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Publications<\/h2>\n<\/header>\n

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PEER-REVIEWED PUBLICATIONS<\/span><\/strong><\/p>\n

    \n
  1. Moges, E., Y. Demissie, H-Y. Li, 2020. Uncertainty Propagation in Coupled Hydrological Models using Winding Stairs and Null-Space Monte Carlo Methods, Journal of Hydrology, https:\/\/doi.org\/10.1016\/j.jhydrol.2020.125341<\/span><\/li>\n
  2. GebreEgziabher, M and Y. Demissie, 2020. Modeling Urban Flood Inundation and Recession Impacted by Manholes, Water, 12(4), 1160; https:\/\/doi.org\/10.3390\/w12041160. <\/span><\/li>\n
  3. Yigzaw, W., H-Y. Li, Y. Demissie, M.I. Hejazi, L.R. Leung, and N. Voisin, 2019. A Multi-layer Reservoir Thermal Stratification Module for Earth System Models, Journal of Advances in Modeling<\/span>
    \nEarth Systems, DOI: https:\/\/doi.org\/10.1029\/2019MS001632<\/span><\/li>\n
  4. Yigzaw, W., H-Y. Li, Y. Demissie<\/strong>, M.I. Hejazi, L.R. Leung, N. Voisin, and R. Payn, 2018. A New Global Reservoir Geometry Dataset for Representing Reservoirs in Land Surface and Earth System Models, Water Resources Research,\u00a0 https:\/\/doi.org\/10.1029\/2017WR022040<\/span><\/li>\n
  5. Wan, W., J. Zhao, H-Y, Li, A. Mishra, M. Hejazi, H. Lu, Y. Demissie<\/strong>, and H. Wang, 2018. A Holistic View of Climate Change and Water Management Impacts on Future Droughts: A Global Multi-Model Analysis, Journal of Geophysical Research-Atmospheres, DOI: 10.1029\/2017JD027825.<\/span><\/li>\n
  6. Mortuza, R., E. Moges, Y. Demissie,<\/strong> and H. Li, 2018. Historical and Future Drought Risk in Bangladesh using Bivariate Regional Frequency Analysis, Theoretical and Applied Climatology, DOI: https:\/\/doi.org\/10.1007\/s00704-018-2407-7<\/span><\/li>\n
  7. Moges, E., A. Jared, Y. Demissie<\/strong>, E. Yan, R. Mortuza, and V. Mahat. 2018. Bayesian Augmented L-Moment Approach for Regional Frequency Analysis, World Environmental <\/span>and Water Resources Congress, DOI: 10.1061\/9780784481417.016<\/span><\/li>\n
  8. Demissie, Y.<\/strong>, E. Yan, M. Wu. 2017. Hydrologic and water quality impacts of biofuel feedstock production in the Ohio River Basin, Global Change Biology Bioenergy, DOI: 10.1111\/gcbb.12466.<\/span><\/li>\n
  9. Ye, S., H. Li, L.R. Leung, J. Guo, Q. Ran, Y. Demissie,<\/strong> and M. Sivapalan, 2017. Understanding flood seasonality and its temporal shifts within the contiguous United States, Journal of Hydrometeorology. DOI: 10.1175\/JHM-D-16-0207.1.<\/span><\/li>\n
  10. Wang, W., H. Li, L.R. Leung, Y. Demissie,<\/strong> and G. Bl\u00f6schl, 2017. Nonlinear filtering effects of reservoirs on the flood frequency curves at the regional scale, Water Resources Research. DOI: 10.1002\/2017WR020871.<\/span><\/li>\n
  11. Wan, W., H. Li, J. Zhao, A. Mishra, L.R. Leung, M. Hejazi, W. Wang, H. Lu, Z. Deng , Y. Demissie<\/strong>, H. Wang, 2017. Hydrological Drought in the Anthropocene: Impacts of Local Water Extraction and Reservoir Regulation in the US, Journal of Geophysical Research-Atmospheres. DOI: 10.1002\/2017JD026899<\/span><\/li>\n
  12. Moges, E., Y. Demissie<\/strong>, H. Li, 2016, Hierarchical mixture of experts and diagnostic modeling approach to reduce hydrologic model structural uncertainty, Water Resources Research, DOI: 10.1002\/2015WR018266.\u00a0<\/span><\/li>\n
  13. Gebremichael, M., M. Bitew, V. Nourani, G. Senay, Y. Demissie<\/strong>, 2016. Impact of hydrologic model on satellite-rainfall based streamflow simulations of a large topographically-complex watershed, Water Resources Research (in press).<\/span><\/li>\n
  14. Li S., L. Xiong, H. Li, L.R. Leung, Y. Demissie<\/strong>, 2015. Attributing runoff changes to climate variability and human activities: Uncertainty analysis using four monthly water balance models, Stochastic Environmental Research and Risk Assessment, DOI: 10.1007\/s00477-015-1083-8<\/span><\/li>\n
  15. Ye S., H. Li, S. Li, L.R. Leung, Y.Demissie<\/strong>, Q. Ran, G. Bl\u00f6schl, 2015. Vegetation regulates streamflow intra-annual variability by adapting to climate variations, Geophysical Research Letters, DOI:10.1002\/2015GL066396.<\/span><\/li>\n
  16. Senay, G.B., S. Bohms, N.M. Velpuri, Y. Demissie, M. Gebremichael, 2014. Understanding the hydrologic sources and sinks in the Nile Basin: Using multi-source climate and remote sensing datasets, Water Resources Research, DOI: 10.1002\/2013WR015231.<\/span><\/li>\n
  17. Demissie, Y.<\/strong>, A. Valocchi, X. Cai, N. Brozovic, M. Gebremichael, G. Senay, 2014. Parameter estimation of groundwater models under uncertain irrigation data, Groundwater, DOI: 10.1111\/gwat.12235.<\/span><\/li>\n
  18. Yan, E., Y. Demissie<\/strong>, M. Wigmasta, V. Tidwell, C. King, 2013. Potential drought impacts on electricity generation in Texas, ASME Proceedings, DOI:10.1115\/POWER2013-98318.<\/span><\/li>\n
  19. Demissie, Y.<\/strong>, E. Yan, and M. Wu, 2012. Assessing Regional Hydrology and Water Quality Implications of Large-Scale Biofuel Feedstock Production in the Upper Mississippi River Basin, Environmental Science & Technology, DOI: 10.1021\/es300769k.\u00a0<\/span><\/li>\n
  20. Wu, M., Y. Demissie<\/strong>, and E. Yan, 2012. Simulate impacts of future biofuel production on water quality and water cycle dynamics in the Upper Mississippi River Basin, Biomass and Bioenergy, DOI: 10.1016\/j.biombioe.2012.01.030.<\/span><\/li>\n
  21. Demissie, Y.<\/strong>, E. Yan, and M. Wu, 2012. Effects of biofuel productions in the Ohio River basin\u2019s water resources and quality. In: Environmental Science and Technology, G. Sorial and J. Hong, Eds. American Science Press, Houston, USA, 2012, Vol. 2, p. 577-582. ISBN: 9780976885344.\u00a0<\/span><\/li>\n
  22. Wu, M., Y. Chiu, and Y. Demissie<\/strong>, 2012. Quantifying the regional water footprint of biofuel using multiple analytical tools, Water Resources Research, DOI:10.1029\/2011WR011809.<\/span><\/li>\n
  23. Demissie, Y.<\/strong>, A. Valocchi, B. Minsker, and B. Bailey, 2009. Integrating a calibrated groundwater flow model with error-correcting data-driven models to improve predictions, Journal of hydrology, DOI: 10.1016\/j.jhydrol.2008.11.007<\/span><\/li>\n
  24. Demissie, Y.<\/strong>, A. Valocchi, B. Minsker, and B. Bailey, 2008. Bias-corrected groundwater model prediction uncertainty analysis. In: J. Refsgaard (Editor), Calibration and Reliability in Groundwater Modeling: Credibility in Modeling, IAHS Publ. 320. ISBN: 9781901502497<\/span><\/li>\n
  25. Moges, E., A. Jared, R. Mortuza,\u00a0Y. Demissie<\/strong>, E. Yan, H-Y. Li, 2018. Improved Regional Frequency Analysis: Bayesian Augmented L-moment Approach with Multiple Diagnostic Performance Measures, Stochastic Environmental Research and Risk Assessment (in revision)<\/span><\/li>\n<\/ol>\n

    RECENT CONFERENCE PROCEEDINGS<\/span><\/strong><\/p>\n

      \n
    1. Moges, E., A. Jared, Y. Demissie, E. Yan, R. Mortuza, and V. Mahat. 2017. Bayesian Augmented L-moment Approach for Regional Frequency Analysis, EWRI World Environmental & Water Resource Congress, Sacramento, CA, May 21\u201325.<\/span><\/li>\n
    2. Demissie, Y., A.Valocchi, X. Cai, N. Brozovic, 2012. Inverse Modeling for Estimating Parameters of Groundwater Models with Uncertain Forcing Data, Proceedings of CMWR2012: XIX International Conference on Computational Methods in Water Resources, University of Illinois, June 17\u201321.<\/span><\/li>\n
    3. Yoon, H., Y. Demissie, S. McKenna, A. Valocchi, C. Werth, 2012. Data worth and optimal sampling analyses to reduce model prediction uncertainty for groundwater transport, Proceedings of CMWR2012: XIX International Conference on Computational Methods in Water Resources, University of Illinois, June 17\u201321.<\/span><\/li>\n
    4. Valocchi, A., Demissie, Y., and Xu, T., 2011. Improving prediction of regional-scale groundwater flow models through exploratory data analysis and complementary modeling, In Proceedings of MODFLOW and More 2011: Integrated Hydrologic Modeling Conference, E. Poeter, R. Maxwell, M. Hill and C. Zheng (ed.), Golden, CO, June 5-8.<\/span><\/li>\n<\/ol>\n

      RECENT TECHNICAL REPORTS<\/span><\/strong><\/p>\n

        \n
      1. Demissie, Y. E. Yan, 2017. Linked Rainfall and Runoff Intensity-Duration-Frequency in the Face of Climate Change and Uncertainty, Interim Report for SERDP<\/span><\/li>\n
      2. Yan, E., A. Jared, V. Mahat, E. Moges, Demissie, J. Pierce, M. Picel, D. Verner, T.Wall, 2016. Extreme Precipitation and Runoff under Changing Climate in Southern Maine, ANL\/EVS-17\/1, Argonne National Laboratory. http:\/\/www.ipd.anl.gov\/anlpubs\/2017\/04\/134790.pdf<\/a>\u00a0<\/span><\/li>\n
      3. Demissie, Y., R. Mortuza, 2016. Development and Update of Rainfall and Runoff Intensity-Duration-Frequency Curves for Washington State Counties in Response to Observed and Anticipated Extreme Rainfall and Snow Events, State of Washington Water Research Center. https:\/\/water.usgs.gov\/wrri\/AnnualReports\/2015\/FY2015_WA_Annual_Report.pdf<\/a>.<\/span><\/li>\n
      4. Yan, E., Tidewell, V., King, C., Demissie, Y., Harto, C., & Wigmosta, M., 2013. Impact of Future Climate Variability on ERCOT Thermoelectric Power Generation: In Support of Interconnection-Wide Transmission Planning. Energy and Water in the Western and Texas Interconnects, ANL\/EVS\/R-13\/2, Argonne National Laboratory. http:\/\/www.ipd.anl.gov\/anlpubs\/2013\/03\/75723.pdf<\/a><\/span><\/li>\n
      5. Demissie, Y., E. Yan, M. Wu, and Z. Zhang, 2012. Watershed Modeling of Potential Impacts of Biofuel Feedstock Production in the Upper Mississippi River Basin, ANL\/EVS\/AGEM\/ TR-12-07, Argonne National Laboratory. http:\/\/www.ipd.anl.gov\/anlpubs\/2012\/08\/73898.pdf<\/a><\/span><\/li>\n
      6. Harto, C., Yan, E., Demissie, Y., Elcock, Tidwell, V., Hallet, K., Macknick, J., Wilgmosta, M., Tesfa, T., 2011. Analysis of drought impacts on electricity production in the Western and Texas interconnections of the United States, ANL\/EVS\/R-11\/14, Argonne National Laboratory. http:\/\/energy.sandia.gov\/wp-content\/gallery\/uploads\/Drought-Analysis-Report-Final.pdf\u00a0<\/a><\/span><\/li>\n<\/ol>\n

        RECENT INVITED PRESENTATIONS<\/span><\/strong><\/p>\n

          \n
        1. Demissie, Y., 2016, Statistics in Practice for Analysis of Climate Impacts, Adaptations, and Mitigations \u2013 Panel Session, 7th Annual Northwest Climate Conference, Stevenson, WA, November 14-16, 2016<\/span><\/li>\n
        2. Demissie, Y. and E. Moges, 2015, Potential use of diagnostic and dynamic coupling of models for hydro-biochemistry, International Conference on Hydro-Biogeochemical Processes: Mechanisms, Coupling, and Impact, Wuhan, China, October 27-31.<\/span><\/li>\n
        3. Demissie, Y. and E. Yan, 2015, Water quality under increased biofuel production and future climate change and uncertainty, AGU Fall Meeting, San Francisco, CA, December 14-15.<\/span><\/li>\n
        4. Demissie, Y., 2013. The Water Footprint of Bioenergy: A watershed assessment for Mississippi River basins, Washington State University, Water Resources\/Environmental Graduate Seminar, Washington, October 07.<\/span><\/li>\n
        5. Demissie, Y., 2013. Modeling Hydrology under Uncertain and Limited Data, Pacific Northwest National Laboratory, Washington, April 30.<\/span><\/li>\n
        6. Demissie, Y., 2012. Effect of Biofuel Productions on Water Resources and Quality, Washington State University Tri-city, Graduating Seminar, Washington, September 05.<\/span><\/li>\n<\/ol>\n

          RECENT CONFERENCE PRESENTATIONS AND ABSTRACTS<\/span><\/strong><\/p>\n

            \n
          1. Demissie, Y., MR. Mortuza, E. Yan, A. Jared, 2018. Drainage system and flooding risk under nonstationary climate and storm conditions, SERDP\/ESTCP Symposium, Washington DC, Nov. 28 \u2013 30. <\/span><\/li>\n
          2. Yan, E., A. Jared, Y. Demissie, E. Moges, and MR. Mortuza, 2018. Development of next-generation intensity-duration-frequency curves under changing climate. AGU Fall Meeting, Washington DC, Dec. 10 \u2013 14.<\/span><\/li>\n
          3. Gebremichael, M., Y. Demissie, 2018. Urban Storm Water Management and Flooding under Extreme Precipitation Events in Seattle. AGU Fall Meeting, Washington DC, Dec. 10 \u2013 14.<\/span><\/li>\n
          4. MR. Mortuza, Y. Demissie, 2018. New Drought Index to Characterize Droughts Within a Snowmelt and Reservoirs Dominated Watershed. AGU Fall Meeting, Washington DC, Dec. 10 \u2013 14.<\/span><\/li>\n
          5. Demissie, Y., MR. Mortuza, E. Yan, A. Jared, 2018. Current IDF Values and Drainage Designs in a Non-stationary Climate, AGU Fall Meeting, Washington DC, Dec. 10 \u2013 14.<\/span><\/li>\n
          6. Jared, A., E. Yan, Y. Demissie, MR. Mortuza, E. Moges, 2018. Development of New Intensity-Duration-Frequency Curves for a Changing Climate. AGU Fall Meeting, Washington DC, Dec. 10 \u2013 14.<\/span><\/li>\n
          7. Yigzaw, W., H. Li, LR. Leung, X. Fang, N. Voisin, M. Hejazi, Y. Demissie, 2018. Reservoir Thermal Stratification Model Development and Validation over the Continental US. AGU Fall Meeting, Washington DC, Dec. 10 \u2013 14.<\/span><\/li>\n
          8. Demissie, Y. 2017. Characterizing the changes in extreme storm and flood risk at military installations across the United States, SERDP\/ESTCP Symposium, Washington DC, Nov. 28 \u2013 30.<\/span><\/li>\n
          9. Demissie, Y. M.R. Mortuza, H. Li, 2017. Comprehensive Characterization of Droughts to Assess the Effectiveness of a Basin-Wide Integrated Water Management in the Yakima River Basin, AGU Fall Meeting, LA, Dec. 11-15.<\/span><\/li>\n
          10. Mortuza, M.R., E. Moges, Y. Demissie, E. Yan, H-Y. Li, 2017. The Complex Relationship between Heavy Storms and Floods: Implication on Stormwater Drainage design and Management, AGU Fall Meeting, LA, Dec. 11-15.<\/span><\/li>\n
          11. Abeshu, G.W., H-Y. Li, E.N.J. Brookshire, X. Chen, J. Tang, and Y. Demissie, 2017. Catchment-scale water-carbon coupling across the contiguous United States: A data-based analysis, WaterSmart Innovation Conference, Las Vegas, NV, Oct. 4-6.<\/span><\/li>\n
          12. Abeshu, G., H-Y Li, W. Yigzaw, M. Hejazi, J. Tang, and Y. Demissie, 2017. Reservoir-induced Alterations in Flood Seasonality: Patterns, Processes, and Implications, AGU Fall Meeting, LA, Dec. 11-15.<\/span><\/li>\n
          13. Demissie, Y. M.R. Mortuza, E. Moges, and E. Yan, 2017. Vulnerability and Resiliency of Stormwater Infrastructures in US Military Installations for Changing Climate, World Environmental & Water Resources Congress, Sacramento, CA, May 21\u201325.<\/span><\/li>\n
          14. Moges, E., Y. Demissie, E. Yan, and A. Jared, 2017. Bayesian Augmented L-moment Approach for Regional Frequency Analysis, World Environmental & Water Resources Congress, Sacramento, CA, May 21\u201325.<\/span><\/li>\n
          15. Demissie, Y. M.R. Mortuza, and E. Yan, 2016. Readiness of Military Installations for Increasing Heavy Storms, AGU Fall Meeting, San Francisco, CA, December 12-16.<\/span><\/li>\n
          16. Mortuza, M.R. and Y. Demissie, and H. Li, 2016. Regional Bivariate Drought Risk in Bangladesh, AGU Fall Meeting, San Francisco, CA, December 12-16.<\/span><\/li>\n
          17. Wan, W., H. Li, A. Mishra; H. Mohamad, L.R. Leung, and Y. Demissie, 2016. Impacts of Climate and Human-induced Changes on Hydrological Drought in the United States: a modeling study, AGU Fall Meeting, San Francisco, CA, December 12-16.<\/span><\/li>\n
          18. Wang, W., Li , H., Ruby , L.L., Bl\u00f6schl, ., Demissie, Y., & Lu, H. (2016). Reservoirs\u2019 Nonlinear Filtering Effects on Flood Frequency Curves. American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 12-16.<\/span><\/li>\n
          19. Demissie, Y. and E. Moges, 2015, Potential use of diagnostic and dynamic coupling of models for hydro-biochemistry, International Conference on Hydro-Biogeochemical Processes: Mechanisms, Coupling, and Impact, Wuhan, China, October 27-31.<\/span><\/li>\n
          20. Demissie, Y. and M.R. Mortuza, 2015, Updated and Forward-Looking Rainfall and Runoff Intensity-Duration-Frequency Curves for Washington State, 6th Annual Pacific Northwest Climate Science Conference, Coeur d\u2019Alene, ID, November 3-5, 2015.<\/span><\/li>\n
          21. Demissie, Y. and E. Yan, 2015, Water quality under increased biofuel production and future climate change and uncertainty, AGU Fall Meeting, San Francisco, CA, December 14-15.<\/span><\/li>\n
          22. Mortuza, M.R. and Y. Demissie, 2015, A multivariate and probabilistic assessment of drought in the Pacific Northwest under historical and future climate change, AGU Fall Meeting, San Francisco, CA, December 14-15.<\/span><\/li>\n
          23. Demissie, Y. and M.R. Mortuza, 2015, Runoff Intensity-Duration-Frequency Curves for Washington State considering the change and uncertainty of observed and anticipated extreme rainfall and snow events, AGU Fall Meeting, San Francisco, CA, December 14-15.<\/span><\/li>\n
          24. Mortuza, M.R. and Y. Demissie, 2015, A multivariate drought assessment of the Yakima River Basin under historical and future climate change, 6th Annual Pacific Northwest Climate Science Conference, Coeur d\u2019Alene, ID, November 3-5, 2015.<\/span><\/li>\n
          25. Mortuza, M.R. and Y. Demissie, 2014, Multivariate probabilistic assessment of meteorological drought under climate change using copula-based regional frequency approach, 5th Annual Pacific Northwest Climate Science Conference, Seattle, WA, September 9-10.<\/span><\/li>\n
          26. Moges, E., Y. Demissie, and H. Li, 2014, Hierarchical mixture of experts and diagnostic modeling approach to reduce hydrologic model structural uncertainty, AGU Fall Meeting, San Francisco, CA, December 15-19.<\/span><\/li>\n
          27. Mortuza, M.R., Y. Demissie, and H. Li, 2014, Regional frequency and uncertainty analysis of extreme precipitation in Bangladesh, AGU Fall Meeting, San Francisco, CA, December 15-19.<\/span><\/li>\n
          28. Li, S., H. Li, S. Ye, L. R. Leung, L. Xiong, and Y. Demissie, 2014, Relating Variations in Streamflow to Variations in Climate in Catchments across the Contiguous United States, AGU Fall Meeting, San Francisco, CA, December 15-19.<\/span><\/li>\n
          29. Senay, G., N.M. Velpuri, S. Bohms, Y. Demissie, 2014, and M. Gebremichael, 2014, New insights into hydrologic sources and sinks in the Nile Basin: A multi-source satellite data analysis, AGU Fall Meeting, San Francisco, CA, December 15-19.<\/span><\/li>\n
          30. Lin, J., Y. Demissie, E. Yan, J. Bohlke, and N. Sturchio, 2014, Nitrate Sources and Transport in the Upper Illinois River Basin Evaluated with Stable Isotope Ratios and SWAT Modeling, AGU Fall Meeting, San Francisco, CA, December 15-19.<\/span><\/li>\n
          31. Moges, E., H.Li, Y. Demissie, and L. R. Leung,\u00a02014, Anthropogenic influence on stream temperature dynamics, Bioearth Meeting, Pullman, WA, October 6-7.<\/span><\/li>\n
          32. Mortuza, M.R. and Y. Demissie, 2014, Copula-Based Bivariate Drought Risk Assessment in Bangladesh, Bioearth Meeting, Pullman, WA, October 6-7<\/span><\/li>\n<\/ol>\n

             <\/p>\n<\/p><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

            <\/p>\n

            Publications<\/h2>\n

            \"\"<\/p>\n

            PEER-REVIEWED PUBLICATIONS<\/strong><\/p>\n

            Moges, E., Y. Demissie, H-Y. Li, 2020. Uncertainty Propagation in Coupled Hydrological Models using Winding Stairs and Null-Space Monte Carlo Methods, Journal of Hydrology, https:\/\/doi.org\/10.1016\/j.jhydrol.2020.125341
            GebreEgziabher, M and Y. Demissie, 2020. Modeling Urban Flood Inundation and Recession Impacted by Manholes, Water, 12(4), 1160; https:\/\/doi.org\/10.3390\/w12041160.
            Yigzaw, W., H-Y. Li, Y. Demissie, M.I. Hejazi, L.R. Leung, and N. Voisin, 2019. A Multi-layer Reservoir Thermal Stratification Module for Earth System Models, Journal of Advances in Modeling
            Earth Systems, DOI: https:\/\/doi.org\/10.1029\/2019MS001632
            …             » More …<\/span><\/a><\/p>\n","protected":false},"author":3948,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-builder.php","meta":[],"wsuwp_university_location":[],"wsuwp_university_org":[],"_links":{"self":[{"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/pages\/23"}],"collection":[{"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/users\/3948"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/comments?post=23"}],"version-history":[{"count":16,"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/pages\/23\/revisions"}],"predecessor-version":[{"id":374,"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/pages\/23\/revisions\/374"}],"wp:attachment":[{"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/media?parent=23"}],"wp:term":[{"taxonomy":"wsuwp_university_location","embeddable":true,"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/wsuwp_university_location?post=23"},{"taxonomy":"wsuwp_university_org","embeddable":true,"href":"https:\/\/labs.wsu.edu\/hydroclimatology\/wp-json\/wp\/v2\/wsuwp_university_org?post=23"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}