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Cristina L. Archer - University of Delaware. Newark, DE, US

Cristina L. Archer

Professor, Geography and Spatial Sciences | University of Delaware


Prof. Archer's research interests include: renewable energy, wind power, climate change, and numerical modeling of atmospheric processes.





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Highlight Seminar: Cristina Archer, U. of Delaware Dr. Cristina Archer - 08/04/20 SoMAS / ITPA - Wind Energy, Atmospheric Turbulence, and Hurricanes




Cristina L. Archer is Professor and Unidel Howard Cosgrove Career Development Chair in the Environment, with a split appointment between the Department of Geography and Spatial Sciences and the Department of Mechanical Engineering. She is also Director of the Center for Research in Wind (CReW), formerly the Center for Carbon-free Power Integration (CCPI). Cristina is the Faculty Director of the Eco-Entrepreneurship certificate program, and her research interests include: renewable energy, wind power, meteorology, climate change, air quality, numerical modeling of atmospheric processes.

Cristina is Director of the Atmosphere and Energy Research Group (AERG) of PhD students and postdocs, and she serves on the Editorial Board of the open-access journal Meteorological Applications of the Royal Meteorological Society by Wiley. Cristina is also on the Editorial Board of the journal Bulletin of the Atmospheric Science and Technology of the Italian Association of Atmospheric Sciences and Meteorology (AISAM – Associazione Italiana di Scienze dell’Atmosfera e Meteorologia) by Springer.

Industry Expertise (2)



Areas of Expertise (5)

Air Quality

Wind Power

Renewable Energy


Climate Change

Media Appearances (5)

Wind energy conference

University of Delaware  online


On Tuesday, Sept. 20, guests were welcomed by conference organizers Cristina Archer, professor and Unidel Howard Cosgrove Career Development Chair in Environment in UD’s Departments of Geography and Spatial Sciences and Mechanical Engineering and the director of CReW, and Paul Veers, a senior research fellow at the National Renewable Energy Laboratory.

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Scientists want to put ‘speed bumps’ in hurricane alley to slow down storms

Popular Science  online


“Offshore wind farms definitely could be a potential tool to weaken hurricanes and reduce their damage,” says Cristina Archer, a professor in the University of Delaware’s College of Earth, Ocean and Environment, who conducted a recent study published in the journal Environmental Research Letters describing the impact of offshore turbines on hurricane rainfall. “And they pay for themselves, ultimately, which is why I am excited about this.”

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Wind turbines could put the brakes on hurricanes

The Conversation  online


Professor Cristina Archer, author on the study from University of Delaware, explained: “It is well known that wind turbines reduce the winds locally and downwind. This is because the turbine converts the motions of air into the motion of the blades (and then the spinning of the generators). This transfer of momentum basically means that the air flow is left with less energy and therefore with lower winds.”

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Staggered Turbines Harness the Most Wind Power

Climate Central  online


Cristina Archer of the University of Delaware and colleagues report in Geophysical Research Letters that they started with a real, working offshore wind farm – Lillgrund in Sweden – and then, using computer simulations and real weather data, hypothetically arranged the turbines to achieve the optimum results.

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When the wind blows: New wind energy research focuses on turbine arrangement, wind seasonality

Phys.org  online


The University of Delaware's Cristina Archer and her Atmosphere and Energy Research Group found that staggering and spacing out turbines in an offshore wind farm can improve performance by as much as 33 percent.

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Articles (5)

New insights on wind turbine wakes from large-eddy simulation: Wake contraction, dual nature, and temperature effects

Wind Energy

2023 Large-eddy simulation (LES) has been adopted to study wind turbine wakes because it can capture fine-scale details of turbulent wind flows and interactions with wind turbines. Here, we use the LES version of the Weather Research and Forecasting (WRF) model with an actuator disk model to gain insights on several wake effects that have been traditionally difficult to measure.

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Impacts of maritime shipping on air pollution along the U.S. East Coast

Atmospheric Chemistry and Physics Discussions 2023

2023 Air pollution is considered a leading threat to human health in the United States (U.S.) and worldwide. An important source of air pollution in coastal areas is the globally increasing maritime shipping traffic. In this study, we take a high-resolution modeling approach to investigate the impacts of ship emissions on concentrations of various atmospheric pollutants, under the meteorological conditions and emissions of the year 2018.

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The Jensen wind farm parameterization

103rd AMS Annual Meeting

2022 Wind farm power production is known to be significantly affected by turbine wakes. When mesoscale numerical models are used to predict power production, the turbine wakes cannot be resolved directly because they are sub-grid features, and therefore their effects need to be parameterized. Here we propose a new wind farm parameterization that is based on the Jensen model, a well-known analytical wake model that predicts the expansion and wind speed of an ideal wake.

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Impacts of replacing coal with renewable energy sources and electrifying the transportation sector on future ozone concentrations in the U.S. under a warming climate

Atmospheric Pollution Research

2022 The potential impacts of emission reduction strategies in the electric power and transportation sectors on future ozone concentrations in the U.S. are investigated. A modeling system consisting of: the Weather Research and Forecasting (WRF), the Community Earth System Model (CESM), the GEOS-Chem, and the Comprehensive Air Quality Model with Extensions (CAMx) is deployed under a climate change scenario to simulate ozone pollution changes by mid-century.

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Comparison of individual versus ensemble wind farm parameterizations inclusive of sub-grid wakes for the WRF model

Wind Energy

2022 Wind turbine wakes can be predicted somewhat accurately with mesoscale numerical models, such as the Weather Research and Forecast (WRF) model, via a wind farm parameterization (WFP) that treats the effects of the wakes, which are sub-grid features, on power production and the environment.

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Education (3)

Stanford University: PhD, Civil and Environmental Engineering 2004

San Jose State University: MS, Meteorology 1998

Politecnico di Milano: MS, Civil and Environmental Engineering 1995

Event Appearances (3)

Surface roughness for offshore wind energy

NAWEA Windtech 2019  University of Massachusetts Amherst

The importance of transport to ozone pollution in Delaware

Guideline on Air Quality Models: The Changes  Chapel Hill, NC

An assessment of compressibility effects for large wind turbines using the blade element momentum method

International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2017)  Thessaloniki, Greece