Source: PURDUE UNIVERSITY submitted to NRP
LAND USE AND REGIONAL CLIMATE
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
HATCH
Reporting Frequency
Annual
Accession No.
0223815
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Oct 1, 2010
Project End Date
Sep 30, 2015
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
PURDUE UNIVERSITY
(N/A)
WEST LAFAYETTE,IN 47907
Performing Department
Agronomy
Non Technical Summary
This research will seek to understand how landuse affects weather and climate. The majority of our understanding of the changes in the Earth's climate has been focused on the impacts of increasing greenhouse gas emissions. Coincident with the changes in the greenhouse emissions, the landuse has also seen dramatic alteration through agricultural intensification and urbanization. Solar radiative energy when it reaches the surface is partitioned into evaporation and sensible heat - which leads to direct changes into humidity, and surface temperatures. In turn these changes can also affect regional cloud cover, winds, location and timing of rainfall events, and the regional climate. Identifying the role of land use on these atmospheric processes is challenging because of numerous multiscale interactions underway. This research will use a range of observations from surface and satellite data sources, and state of the art computational models that will study weather and climate events from local to continental scale and tease out the various land - atmospheric processes. It is anticipated that the improved understanding of the role of land surface processes from synthesis of the observations and model studies will be used in further improving the forecast models. Ultimately the research will help improve the predicatability of the models and the ability to forecast weather, and understand climate change feedbacks at regional and larger scales.
Animal Health Component
(N/A)
Research Effort Categories
Basic
(N/A)
Applied
(N/A)
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1320420207040%
1320430207040%
1320499207010%
1327210207010%
Knowledge Area
132 - Weather and Climate;

Subject Of Investigation
0420 - Weather; 0430 - Climate; 0499 - Atmosphere, general/other; 7210 - Remote sensing equipment and technology;

Field Of Science
2070 - Meteorology and climatology;
Goals / Objectives
This proposal seeks to address two broad questions: (i) How do humans affect short and long term environmental and climate patterns through anthropogenic landuse changes, and (ii) How can the predictability of the short and long term environmental variability patterns be improved by better incorporation of accurate landuse state within process models Specific research activities for the proposed project are targeted towards three tasks: (a) identification of the impact of land atmosphere interactions including land use heterogeneity on regional weather and climate patterns; (b) developing process scale representation of the land atmosphere interactions with particular focus on extreme weather events and regional climate studies; and (c) improving models and synthesis datasets using multisensor platforms to help improve the land atmosphere interaction representations for weather and hydroclimatic studies.
Project Methods
The investigation will be undertaken using a combination of insitu and remote sensed observations, reanalysis datasets, land data assimilation systems, and prognostic regional models. These resources are available through the Indiana State Climate Office or through collaborators. The models being used are community tools available from the National Center for Atmospheric Research and the collaborators there. Typically the insitu datasets such as from the Historical Climate Network (HCN) and Cooperative Observation (COOP), and other NOAA data will be used for assessing the temperature and rainfall trends and for model verification both in a case study (ie individual sets of representation storms), or for climatological analysis. Ameriflux/Fluxnet datasets as well as special intensive observational data from field experiments will also be utilized. These data will principally be used for land data model verification when soil datasets are available; for coupled model assessments when sounding and aircraft/radar information is available; and/ or coupled modeling studies. The surface datasets will be used in conjunction with the gridded reanalysis products. The reanalysis products will also be used for assessing the landuse impact studies using the observed minus reanalysis (OMR) approach we have been utilizing in our recent studies (Fall et al. 2009; Fall et al. 2010). The remote sensed datasets typically will be the MODIS Terra/Aqua suite of products particularly the MODIS land products, TRMM rainfall products (TMPA), Cloudsat as feasible when the pass coincides a storm of interest, and the AMSR soil wetness/ soil temperature fields, AIRS sounding particularly for oceanic events. Also, for the Indian monsoon region we will use Kalpana visible cloud imagery, and INSAT landuse datasets as publicly available. The models that will be typically used are the Weather Research Forecasting (WRF) model (both ARW, and the NMM versions), the Hurricane WRF (HWRF), the Regional Atmospheric Modeling System (RAMS), Noah Land Surface Model, Noah-GEM module, and the High Resolution Land Data Assimilation System (HRLDAS). The Common Land Model (CLM) and NASA Land Information System (LIS) are also used along with LEAF2/3, and the Urban Canopy Models. The WRF suite is principally targeted for storm analysis and regional runs. The HWRF will be used for tropical systems, RAMS will be used for synthetic case studies. The Noah, Noah-GEM, and HRLDAS will be used synergistically, with the Noah and Noah-GEM for single point or coupled runs, and the HRLDAS for longer term (multi year) hydroclimatic analysis or boundary condition studies.

Progress 10/01/10 to 09/30/15

Outputs
Target Audience:Weather Forecast community Regional Climatologists Extension Educators Researchers on Landuse/land cover change, agroclimatology, hydrometeorology Water Managers Drought Monitor Practiotioners and Agricultural producers Crop Advisers Media Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Project activities and findings were integrated within undergraduate and graduate courses related to weather and climate. How have the results been disseminated to communities of interest?Project participants were invited for different conferences, worshops, scientific meetings to present project findings across national and international avenues. Products and findings were disseminated to extension educators through series of meetings and FAQs. Material was integrated within study material and curriculum content for middle school students. Broader communications were made through press-releases, blog commentaries, media interviews, and visits to educational fairs. What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? The project led to an advanced understanding related to the role of landuse/ landcover change on occurrences and the predictions ofweather, regional hydrology, and extremes such as droughts. This knowledge has been communicated to the educational,scientific and operational community through different avenues. The project has led to the knowledge that the appropriate considersation and representation of land surface features such as agriculture activities, urbanization, deforestation, soil moisture, soil temperature improves the predictability and accuracy of environmental models in their ability to simulate weather and hydroclimatic features. The project activities critically and holistically addressed the following two questions(i) How do humans affect short and long term environmental and climate patterns through anthropogenic landuse changes, and (ii) How can the predictability of the short and long term environmental variability patterns be improved by better incorporation of accurate landuse state within process models. The project activities were achieved throughthree distinct tasks: (a) identification of the impact of land atmosphere interactions including land use heterogeneity on regional weather and climate patterns; (b) developing process scale representation of the land atmosphere interactions with particular focus on extreme weather events and regional climate studies; and (c) improving models and synthesis datasets using multisensor platforms to help improve the land atmosphere interaction representations for weather and hydroclimatic studies. These activities were undertaken through series of numerical weather prediction modelexperiments and analysis of observations from different data sources and products. A synthesis from the different studies and assessments was undertaken to provide a comprehensive understanding of the land surface feedbacks on the regional meteorology. The papers and research resulting from this project have been cited over 1000 times in the scientific literature.

Publications

  • Type: Journal Articles Status: Published Year Published: 2014 Citation: Nicholas G Smith, Vikki L Rodgers, Edward R Brzostek, Andrew Kulmatiski, Meghan L Avolio, David L Hoover, Sally E Koerner, Kerstin Grant, Anke Jentsch, Simone Fatichi, Dev Niyogi, 2014, Toward a better integration of biological data from precipitation manipulation experiments into Earth system models, Rev. Geophys., 52, 412434, doi:10.1002/2014RG000458.
  • Type: Journal Articles Status: Published Year Published: 2015 Citation: Hossain, F., Arnold, J., Beighley, E., Brown, C., Burian, S., Chen, J., Madadgar, S., Mitra, A., Niyogi, D., Pielke, R., Sr., Tidwell, V., and Wegner, D. (2015). "Local-To-Regional Landscape Drivers of Extreme Weather and Climate: Implications for Water Infrastructure Resilience." J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0001210, 02515002
  • Type: Journal Articles Status: Published Year Published: 2015 Citation: Olivia Kellner and Dev Niyogi, 2015: Climate Variability and the U.S. Corn Belt: ENSO and AO Episode-Dependent Hydroclimatic Feedbacks to Corn Production at Regional and Local Scales. Earth Interact., 19, 132. doi: http://dx.doi.org/10.1175/EI-D-14-0031.1
  • Type: Journal Articles Status: Published Year Published: 2015 Citation: Niyogi, D., X. Liu, J. Andresen, Y. Song, A. K. Jain, O. Kellner, E. S. Takle, and O. C. Doering (2015), Crop models capture the impacts of climate variability on corn yield. Geophys. Res. Lett., 42, 33563363. doi: 10.1002/2015GL063841.


Progress 10/01/13 to 09/30/14

Outputs
Target Audience: Extension Educators Researchers Regional Climate Data and Model users Water Managers Drought Assessment / Drought Monitor Practitioners and Agricultural Producers Crop Advisors Media Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Continued work on the climate change educational aspects. Working with the educational researchers developed a framework that suggests teaching climate as a system may be a conceptually more effective way of discussing and teaching climate change. Codeveloped two workshops on climate change education. The products being developed by the climate change curriculum framework continue being disseminated to the middle school teachers and informal science community. Continued working with IBAT through Purdue Extension to engage the extension educators for climate change education and development of FAQs and tools. How have the results been disseminated to communities of interest? Material from the project is being used for presentations, class room teaching, media discussions. Publications Workshops, Conference presentations Media releases Agricultural news releases Discussions with stake holders Extension Calls What do you plan to do during the next reporting period to accomplish the goals? Continue working on the tools and material being developed. Likely focus on developing a ET mapping tool and tests with different formulations Also planning a ENSO climate variability analysis because of likely El Nino conditions Continue working on urban severe weather analysis Publications and presentations to peers and broader community Continue using information into class room

Impacts
What was accomplished under these goals? 1. Work cited over 650 times in 2013 (citations based on google scholar profile). 2. Invited participant at different international conferences internationally (Thailand, Sweden, India, AGU). 3. Worked on developing coordinated assessments regarding climatic conditions across Indiana / Midwest during the weather extremes. 4. Continued development of Useful 2 Usable (U2U) project with 8 states and multi-institutional collaborators. First regional project to address climate change/variability impacts on agriculture and development of tools for mitigation/adaptation. Co-lead on the climate part. News media citations, regional agricultural vulnerability. 5. Completed through Elsevier / Academic Press a Major Reference Work (MRW) on Climate Change Vulnerability to Agriculture and Food Security edited book. (Climate Vulnerability, 1st Edition, Understanding and Addressing Threats to Essential Resources; Agriculture and Food Security Volume Editor). 6. Recognized for work on urban landsurface feedbacks at various meetings and workshop invites. The impact of urban areas on thunderstorms is becoming an important topic of research across the board and the work from my group is being used as one of the important background for the regional hydroclimatological impacts. 7. Developed a new approach called RAIL – real atmosphere idealized landsurface, that allows the landsurface especially the urban land surface – atmospheric interactions to be diagnosed in a realistic manner and provide increased conceptual understanding. 8. Identified the minimum size of the cities that can alter thunderstorms to be around 20km radius. Additional work on multiple shapes and city planning objectives are now underway building off this work. 9. Provided a possible new way of looking at tornadic and severe weather operational climatological risk by identifying zones of urban – rural heterogeneities as areas where severe weather may be happening more preferentially. 10. Part of an international team that developed a method for using satellite data to estimate evapotranspiration for heterogeneous regional landscapes. The highlight of this method is that it allows the estimation without making a priori assumptions about the surface resistance term. This will allow revising climate and hydrological models and also has significant potential for transpiration loss and drought assessments. 12. Provided the conceptual and practical framework as to how climatic information can be integrated into agricultural decision making. 13. Showed findings that CMIP5 results as used in IPCC analysis have strong persistence and bias for doing rainfall assessments. Developed a new approach for detecting the influence of land use / land cover change in climatic simulations. 14. Using wet deposition data across global sites, we showed that urbanization and policy / regulations really have a strong role in controlling environmental impacts. These findings have implications for climate change policy and a press release was made.

Publications

  • Type: Journal Articles Status: Published Year Published: 2014 Citation: O Kellner, D Niyogi, 2014, Assessing drought vulnerability of agricultural production systems in context of the 2012 drought, Journal of Animal Science, 2014FORAGES AND PASTURES SYMPOSIUM: Forage systems adaptable to dry conditions J ANIM SCI July 1, 2014 92:2809-2810
  • Type: Journal Articles Status: Published Year Published: 2014 Citation: Olivia Kellner and Dev Niyogi, 2014: Land Surface Heterogeneity Signature in Tornado Climatology? An Illustrative Analysis over Indiana, 19502012. Earth Interact., 18, 132. doi: http://dx.doi.org/10.1175/2013EI000548.1
  • Type: Journal Articles Status: Published Year Published: 2014 Citation: Eugene S. Takle, Christopher J. Anderson, Jeffrey Andresen, James Angel, Roger W. Elmore, Benjamin M. Gramig, Patrick Guinan, Steven Hilberg, Doug Kluck, Raymond Massey, Dev Niyogi, Jeanne M. Schneider, Martha D. Shulski, Dennis Todey, and Melissa Widhalm, 2014: Climate Forecasts for Corn Producer Decision Making. Earth Interact., 18, 18. doi: http://dx.doi.org/10.1175/2013EI000541.1
  • Type: Journal Articles Status: Published Year Published: 2014 Citation: Mahmood, R., Pielke, R. A., Hubbard, K. G., Niyogi, D., Dirmeyer, P. A., McAlpine, C., Carleton, A. M., Hale, R., Gameda, S., Beltr�n-Przekurat, A., Baker, B., McNider, R., Legates, D. R., Shepherd, M., Du, J., Blanken, P. D., Frauenfeld, O. W., Nair, U.S. and Fall, S. (2014), Land cover changes and their biogeophysical effects on climate. Int. J. Climatol., 34: 929953. doi: 10.1002/joc.3736
  • Type: Journal Articles Status: Published Year Published: 2014 Citation: Anil Kumar, Fei Chen, Michael Barlage, Michael B. Ek, and Dev Niyogi, 2014: Assessing Impacts of Integrating MODIS Vegetation Data in the Weather Research and Forecasting (WRF) Model Coupled to Two Different Canopy-Resistance Approaches. J. Appl. Meteor. Climatol., 53, 13621380. doi: http://dx.doi.org/10.1175/JAMC-D-13-0247.1


Progress 10/01/12 to 09/30/13

Outputs
Target Audience: Researchers Policy Makers Regional Climate Data and Model users Practioners and Extension Community Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Continued work on the climate change educational aspects. Working with the educational researchers developed a framework that suggests teaching climate as a system may be a conceptually more effective way of discussing and teaching climate change. How have the results been disseminated to communities of interest? Publications Workshops, Conference Presentations Discusions with Media Discussions with stakeholders Extension Meetings What do you plan to do during the next reporting period to accomplish the goals? The work will continue as in the previous year. The modeling and analysis data sets are being analyzed and will continue to be used for diagnosis of droughts, regional climate/meteorogical feedbacks. Synhtesis of the model results and observations will be processed and communicated to peer reviewed journals, conferences, and workshops.

Impacts
What was accomplished under these goals? Work cited over 400 times in 2012 (citations based on google scholar profile). Invited participant at different international conferences internationally (Ireland, Singapore, AGU). Worked on developing coordinate drought triggers that could be used for mapping drought conditions across Indiana during the historic drought of 2012. Worked with Elsevier Press on Major Reference Work (MRW) on Climate Change Vulnerability to Agriculture and Food Security edited book. Recognized for work on the reintensification of tropical storms post landfall. Highlighted that wetter, warmer land conditions will aid storm sustenance. Codeveloped a method for using satellite data to estimate evapotranspiration for heterogeneous regional landscapes. The highlight of this method is that it allows the estimation without making apriori assumptions about the surface resistance term. This will allow revising climate and hydrological models and also has significant potential for transpiration loss and drought assessments.. Showed that regional scale reanalyses products can be downscaled effectively for agricultural applications. This information is now being used to drive the Midwest U2U hydroclimatology downscaling.

Publications

  • Type: Journal Articles Status: Published Year Published: 2013 Citation: Schmid P., and D. Niyogi, 2013, Impact of city size on precipitation - modifying potential, Geophysical Research Letters, 40, doi: 10.1002/grl.50656.
  • Type: Journal Articles Status: Published Year Published: 2013 Citation: Mallick, K., A. Jarvis., J. Fisher, K. Tu, E. Boegh, and D. Niyogi, 2013: Latent heat flux and canopy conductance based on Penman-Monteith and Bouchets complementary hypothesis: validation over diverse biomes, Journal of Hydrometeorology, 14, 419-442
  • Type: Book Chapters Status: Awaiting Publication Year Published: 2013 Citation: Kellner, O., and D. Niyogi, 2013: Agroclimatology, in Encyclopedia of Natural Resources, edited by Dr. Yeqiao (Y.Q.) Wang, Taylor and Francis, NY, accepted.
  • Type: Journal Articles Status: Published Year Published: 2013 Citation: Mahmood, R., Pielke, R. A., Hubbard, K. G., Niyogi, D., Dirmeyer, P. A., McAlpine, C., Carleton, A. M., Hale, R., Gameda, S., Beltr�n-Przekurat, A., Baker, B., McNider, R., Legates, D. R., Shepherd, M., Du, J., Blanken, P. D., Frauenfeld, O. W., Nair, U.S. and Fall, S., 2013, Land cover changes and their biogeophysical effects on climate, International Journal Of Climatology, doi: 10.1002/joc.3736
  • Type: Journal Articles Status: Published Year Published: 2012 Citation: 8. Charusombat U., D. Niyogi, S. Garrigues, A. Olioso, O. Marloie, M. Barlage, F. Chen, M. Ek, X. Wang, and Z. Wu, 2012: Noah-GEM and Land Data Assimilation System (LDAS) based downscaling of Global Reanalysis surface fields: Evaluations using observations from a CarboEurope agricultural site, COMPAG - Computers and Electronics in Agriculture, http://dx.doi.org/10.1016/j.compag.2011.12.001.


Progress 10/01/11 to 09/30/12

Outputs
OUTPUTS: The key focus of the research endeavor was understanding the evolution and processes associated with the hydrological extremes such as flooding and droughts. The role of El Nino/ La Nina patterns, regional land use, and the precipitation - evaporation feedbacks were conducted using model simulations and synthesis of multi resolution, satellite and in situ data. Efforts were also directed towards developing the protocols for high resolution (4 km grid spacing, hourly) multiyear soil moisture and soil temperature data that can be integrated into regional analysis for weather, regional climate, and crop studies. Results and the models were presented to community meetings through webinars, community extension meetings, presentations to professional societies, research publications, and discussions with the media. Study results were also used in undergraduate and graduate courses at Purdue University and for training visiting students and scientists. Papers and findings are available at http://landsurface.org. Study results have continued to be made available to the weather forecasting community, and disseminated through professional peer reviewed publications, as well as popular media press releases. PARTICIPANTS: Nothing significant to report during this reporting period. TARGET AUDIENCES: Climatologist concerned with impacts of weather patterns on crop production. PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Study findings continue being reported, highlighted, and cited in in professional publications as well as in popular press. The work has helped develop an understanding of the role of local versus regional climate forcings on the regional weather patterns and associated hydroclimatic variability. Crop modeling results are being used to guide the development of a decision tool that can help assess the impact of droughts, and climatic extremes on regions agricultural productivity. Research results are also being conveyed to Land Use Teams for help understand the development of land use planning tools with particular emphasis on green urban landscapes. Results are published in peer review literature, have been used in student theses and doctoral dissertations.

Publications

  • Niyogi D., R, Mera, Yongkang Xue, G. Wilkerson, F. Booker, 2011, The use of Alpert- Stein Factor Separation Method for climate variable interaction studies in hydrological land surface models and crop yield models, In: The Factor Separation Method in the Atmosphere-Applications and Future Prospects, , Ed. P. Alpert and T. Sholokhman, Cambridge University Press, 171-183.
  • Bozeman, Monica Laureano, Land Surface Feedbacks On The Post-landfall Tropical Cyclone Characteristics Using The Hurricane Weather Research And Forecasting (HWRF) Modeling System, MS Thesis (D. Niyogi, M. Baldwin - Major Professors), Purdue University, 2011.
  • Kellner,Olivia, The role of anomalous soil moisture on the inland reintensification of Tropical Storm Erin (2007), MS Thesis (D. Niyogi- Chair), Purdue University, 2011
  • Ming Lei, Urbanization Impacts on Severe Weather Dynamical Processes and Climatology, Ph.D. dissertation, Department of Earth and Atmospheric Sciences, Purdue University, 2011.
  • Charusombat, U. and D. Niyogi, 2011: A Hydroclimatological Assessment of Regional Drought Vulnerability: A Case Study of Indiana Droughts. Earth Interactions, volume 15, pages 1 - 65.
  • Pijanowski B., N. Moore, D. Mauree, and D. Niyogi, 2011 : Evaluating error propagation in coupled land-atmosphere models, Earth Interactions, 15 (28), 1-25.
  • Niyogi, Dev, Patrick Pyle, Ming Lei, S. Pal Arya, Chandra M. Kishtawal, Marshall Shepherd, Fei Chen, Brian Wolfe, 2011: Urban Modification of Thunderstorms: An Observational Storm Climatology and Model Case Study for the Indianapolis Urban Region. J. Appl. Meteor. Climatol., 50, 1129-1144. doi: 10.1175/2010JAMC1836.1
  • Mohanty U.C., D. Niyogi, J. Potty, 2012, Recent developments in tropical cyclone analysis using observations and high resolution models, Natural Hazards, 10.1007/s11069-012-0088-6
  • Charusombat U., D. Niyogi, S. Garrigues, A. Olioso, O. Marloie, M. Barlage, F. Chen, M. Ek, X. Wang, and Z. Wu, 2012: Noah-GEM and Land Data Assimilation System (LDAS) based downscaling of Global Reanalysis surface fields: Evaluations using observations from a CarboEurope agricultural site, COMPAG - Computers and Electronics in Agriculture, http://dx.doi.org/10.1016/j.compag.2011.12.001.
  • Kishtawal C., N. Jaiswal, R. Singh, and D. Niyogi, 2012: Tropical cyclone intensification trends during satellite era (1986-2010), Geophysical Research Letters, 39, L10810 http://dx.doi.org/10.1029/2012GL051700.
  • Hossain F., A. Degu, W. Yigzaw, S. Burian, D. Niyogi, M. Shepherd, and R. A. Pielke Sr., 2012: Climate Feedback Based Provisions for Dam Design, Operations, and Water Management in the 21st Century. J. Hydrol. Eng., 17(8), 837 - 850.


Progress 10/01/10 to 09/30/11

Outputs
OUTPUTS: Research findings were reported and published in peer reviewed, international journals and also communicated at professional meetings, and workshop as well as community events. Computational models were refined and evaluated for capturing the complex interactions between land surface, vegetation, hydrology and the atmosphere and available to the community through interactions with the National Center for Atmospheric Research, National Weather Service, and collaborations with the operational and research community. Study results were also communicated through the Indiana State Climate Office presentations to the agricultural and policy community. The documentations for these models are made publicly available at http://landsurface.org. Study findings are routinely made available to the weather, agricultural climate, and regional climate community through publications and the media press releases. PARTICIPANTS: Dev Niyogi as the Principal Investigator. Collaborators from NOAA, National Center for Atmospheric Research, NASA and academic and operational community partners. TARGET AUDIENCES: Peer research community Operational weather forecasters Model developers Regional Climate Modeling community Land use planners Land use land cover change community PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Study results have been used in developing curriculum material modules that are being used by middle school teachers and extension educators for discussing issues related to environmental changes. Study findings have been reported and cited in professional publications as well as in popular media and contributed to the discussion on the role of landuse change on the regional climate and sustainability. Project continues to provide improvements to the representation of urban and agricultural landscapes in the regional hydrological, weather forecast and climate models. Study results are being applied to assess the effect of severe weather - land use locational preferences.

Publications

  • Montandon, L.M., S. Fall, R.A. Pielke Sr., and D. Niyogi, 2011, Distribution of landscape types in the Global Historical Climatology Network. Earth Interactions, 15:6, doi: 10.1175/2010EI371
  • Degu, A. M., F. Hossain, D. Niyogi, R. Pielke Sr., J. M. Shepherd, N. Voisin, and T. Chronis, 2011, The influence of large dams on surrounding climate and precipitation patterns. Geophys. Res. Lett., 38, L04405, doi:10.1029/2010GL046482.
  • Kumar A., F. Chen, D. Niyogi, J. Alfieri, M. Ek, and K. Mitchell, 2011, Evaluation of a photosynthesis-based canopy resistance formulation in the Noah land surface model, Boundary-Layer Meteorology, 138, 263 - 284. Doi: 10.1007/s10546-010-9559-z
  • Wu Z., X. Wang, F. Chen, A. A. Turnipseed, A. B. Guenther, D. Niyogi, U. Charusombat, B. Xia, J. W. Munger, K. Alapaty, 2011 Evaluating the calculated dry deposition velocities of reactive nitrogen oxides and ozone from two community models over a temperate deciduous forest, 45, 2663-2674. doi:10.1016/j.atmosenv.2011.02.063
  • Hossain F., D. Niyogi, J. Adegoke, G. Kallos, and R. A. Pielke Sr., 2011, Making Sense of the Water Resources That Will Be Available for Future Use, Eos, 90, 144 - 145.
  • Niu, G.-Y., Z.-L. Yang, K. E. Mitchell, F. Chen, M. B. Ek, M. Barlage, L. Longuevergne, A. Kumar, K. Manning, D. Niyogi, E. Rosero, M. Tewari, and Y. Xia, 2011, The Community Noah Land Surface Model with Multi-Parameterization Options (Noah-MP): 1. Model Description and Evaluation with Local-scale Measurements, Journal of Geophysical Research, 116, D12, D12109,doi:10.1029/2010JD015139
  • Yang, Z.-L., G.-Y. Niu, K. E. Mitchell, F. Chen, M. B. Ek, M. Barlage, K. Manning, D. Niyogi, M. Tewari, and Y. Xia, 2011, The Community Noah Land Surface Model with Multi-Parameterization Options (Noah-MP): 2. Evaluation over Global River Basins, Journal of Geophysical Research, 116, No. D12, D12110, doi:10.1029/2010JD015140
  • Fall, S., A. Watts, J. Nielsen-Gammon, E. Jones, D. Niyogi, J. Christy, and R. A. Pielke Sr., 2011, Analysis of the impacts of station exposure on the U.S. Historical Climatology Network temperatures and temperature trends J. Geophys. Res., doi:10.1029/2010JD015146
  • Pijanowski B., N. Moore, D. Mauree, and D. Niyogi, 2011, Evaluating error propagation in coupled land-atmosphere models, Earth Interactions, 15 (28), 1-25.
  • Charusombat, U. and D. Niyogi, 2011, A Hydroclimatological Assessment of Regional Drought Vulnerability: A Case Study of Indiana Droughts. Earth Interactions,15, 1- 65.
  • Kishtawal C. M., D. Niyogi, A. Kumar, M. Laureano, O. Kellner, 2011, Observed sensitivity of inland decay of tropical cyclones to soil surface characteristics, Natural Hazards- Tropical Cyclones of 21st Century Special Issue, DOI: 10.1007/s11069-011-0015-2
  • Pielke, R. A., Pitman, A., Niyogi, D., Mahmood, R., McAlpine, C., Hossain, F., Goldewijk, K. K., Nair, U., Betts, R., Fall, S., Reichstein, M., Kabat, P. and de Noblet, N., 2011, Land use/land cover changes and climate: modeling analysis and observational evidence. Wiley Interdisciplinary Reviews: Climate Change. doi: 10.1002/wcc.144