Dr. Nir Krakauer

About

Dr. Krakauer has extensive experience in leading and publishing research into climate change and its impact on streamflow, agriculture, biodiversity, and health both in the USA and globally. He has worked with scientists and engineers, educational institutions, nonprofit groups, and government ministries from New York City to South Asia to monitor climate change and vulnerability and support and evaluate resiliency measures, including a trial of drip irrigation by smallholder farmers in three districts of Nepal. He has developed new tools and methodologies for assessing climate risks and making more accurate predictions, and contributed to the development of climate science and water resources engineering by convening conferences and editing journal sections and special issues. As a NOAA-CESSRST investigator, he has mentored and introduced to research dozens of students from high school to doctoral levels, in addition to developing and teaching courses and training modules. Additional interests include grid integration of renewable energy, educating engineering students for ecological thinking, and statistical tools for epidemiology and personalized medicine.

Department and Climate Courses

CE 31500: Numerical and Computational Methods in Civil Engineering.

CE H7300/SUS 7800B: Sustainability in Civil Engineering

CE G9500: Remote Sensing in Water Resources and Environmental Engineering

Climate Research

Dr. Krakauer studies the earth’s water and carbon cycles, particularly the effects of global warming and other human impacts.

He works on monitoring water resources, droughts and floods from earth-observing satellites and on improving forecasts using machine learning as part of NOAA-CESSRST, for which he served as Acting Distinguished Research Scientist. Dr. Krakauer works with colleagues at NASA-GISS to better understand the impact of plants, soil moisture, and groundwater on weather and climate.

Past projects have included: (1) Work with NYCDEP, funded by NASA’s Applied Sciences Program, to understand the water budget of the watersheds that supply water to New York City in order to improve ability to predict supplies in droughts and under climate change. (2) Biodiversity and climate hazard mapping and pilot adaptation strategies for smallholders in Nepal, funded by the USAID IPM Innovation Lab and Climate-Livestock CRSP. (3) Improving seasonal forecasts of temperature and precipitation through dynamic modeling and application of information theory, funded by NOAA’s Climate Program Office under the Modeling, Analysis, Predictions, and Projections (MAPP) Program.

Research Citations

M Ahmed, GH Dars, S Ahmed, NY Krakauer (2023), Analyzing drought trends over Sindh Province, Pakistan, Natural Hazards

C Agonafir, T Lakhankar, R Khanbilvardi, NY Krakauer, D Radell, N Devineni (2023), A review of recent advances in urban flood research, Water Security

L Belkhiri, NY Krakauer (2023), Quantifying the effect of climate variability on seasonal precipitation using Bayesian clustering approach in Kebir Rhumel Basin, Algeria, Stochastic Environmental Research and Risk Assessment

M Hanchane, R Kessabi, NY Krakauer, A Sadiki, JE Kassioui, I Aboubi (2023), Performance evaluation of TerraClimate monthly rainfall data after bias correction in the Fes-Meknes region (Morocco), Climate, 11(6): 120

M Belmahi, M Hanchane, NY Krakauer, R Kessabi, H Bouayad, A Mahjoub, D Zouhri (2023), Analysis of relationship between grain yield and NDVI from MODIS in the Fez-Meknes region, Morocco, Remote Sensing, 15(11): 2707

D Nagayama, JC Krakauer, NY Krakauer, T Sugiura, Y Watanabe, K Shimizu, A Saiki, K Suzuki, K Fujishiro, K Shirai (2023), Cumulative cigarette consumption is associated with Cardio-Ankle Vascular Index (CAVI) mediated by abdominal obesity assessed by a body shape index (ABSI): A cross-sectional study, Journal of Atherosclerosis and Thrombosis

M Achite, G Ceribasi, A Wałęga, AI Ceyhunlu, N Elshaboury, NY Krakauer, T Hartani, T Caloiero, S Gul (2023), Analysis of monthly average precipitation of Wadi Ouahrane basin in Algeria by using the ITRA, ITPAM, and TPS methods, Environmental Monitoring and Assessment, 195: 606

R Addou, M Hanchane, NY Krakauer, R Kessabi, K Obda, M Souab, IE Achir (2023), Wavelet analysis for studying rainfall variability and regionalizing data: An applied study of the Moulouya watershed in Morocco, Applied Sciences, 13(6): 3841

Z Tian, C Yi, Y Fu, E Kutter, NY Krakauer, W Fang, Q Zhang, H Luo (2023), Fusion of multiple models for improving gross primary production estimation with eddy covariance data based on machine learning, Journal of Geophysical Research: Biogeosciences, 128(3): e2022JG007122

NY Krakauer (2023), Amplification of extreme hot temperatures over recent decades, Climate, 11(2): 42

R Kessabi, M Hanchane, T Caloiero, G Pellicone, R Addou, NY Krakauer (2023), Analyzing spatial trends of precipitation using gridded data in the Fez-Meknes region, Morocco, Hydrology, 10(2): 37

R Addou, M Hanchane, K Obda, NY Krakauer, B El Khazzan, R Kessabi, H Achiban (2022), Monthly precipitation over northern Middle Atlas, eastern Morocco: Homogenization and trends, Applied Sciences, 12(23): 12496

R Kessabi, M Hanchane, NY Krakauer, I Aboubi, J El Kassioui, B El Khazzan (2022), Annual, seasonal, and monthly rainfall trend analysis through non-parametric tests in the Sebou River Basin (SRB), northern Morocco, Climate, 10(11): 170

C Agonafir, T Lakhankar, R Khanbilvardi, NY Krakauer, D Radell, N Devineni (2022), A machine learning approach to evaluate the spatial variability of New York City’s 311 street flooding complaints, Computers, Environment and Urban Systems, 97: 101854