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135

135 – Improved Hypoxia Modeling for Nutrient Control Decisions in the Gulf of Mexico (Hypo-G)
Principal Investigator(s): J. Stehr

Every year, a large dead zone in the Gulf of Mexico emerges, fed by large inputs of nitrogen and other nutrients from the Mississippi river. The dead zone consists of an area of low dissolved oxygen the size of Massachusetts arising from algae blooms and subsequent die off of the algae. Once the algae die, they decay, consuming oxygen and depriving other species of the oxygen they need to live. The dead zone leads directly to fish kills and loss of habitat for less mobile organisms such as mussels and crabs. The goal of the overall project is to provide a scientific basis for addressing the Gulf of Mexico dead zone. In particular, we will use NASA satellite products to evaluate predictions from rain and snow simulations and to provide ocean color evaluations. The University of Maryland (UMD) portion of this project seeks to approach one aspect of the nutrient loading to the Gulf, namely deposition of nutrients from the atmosphere in rain and snowfall. As nitrogen-rich water and snow fall on the watershed of the entire Mississippi River system, a portion of that nitrogen makes its way to the Gulf of Mexico, producing the dead zone there. This project seeks to improve the understanding of these processes and to improve the ability of the models to treat these processes properly. It also responds to a plan put forward by the governors of Gulf of Mexico states, the Governors’ Action Plan for Healthy and Resilient Coasts.

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134 – Dynamic Downscaling and Urban Land Use
Principal Investigator(s): R. Murtugudde

This task provides additional support to look at the use of Terra and other data sets in the application of urban related impacts to the Chesapeake Bay environment within the context of the on-going CBFS. The Chesapeake Bay land use has been under great pressure due to population growth and sea level rise. Including the interaction among the atmosphere, ocean, land under a Regional Earth System Prediction Framework is important to study the impact of urban land use on the long term climate and short term weather and ocean forecasting.

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133 – Polar Climate System
Principal Investigator(s): L. Boisvert

We want to calculate the moisture flux over the entire Arctic using satellite data on board NASA’s Aqua satellite daily from 2003-2009. We would like to study how the moisture flux has been changing in recent years with the dramatic changes in the Arctic sea ice pack thickness, compactness, and extent. We would like to compare these findings to recent studies dealing with Arctic cloud changes in recent years to see if they relate. We began with a small-scale study of the North Water polynya in order to test the accuracy of the satellite data before moving on to the entire Arctic sea ice pack.

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132 – Analysis and Evaluations of Passive Microwave Measurements
Principal Investigator(s): Nai-Yu Wang

Measurements from polar orbiting satellites, in particular, microwave sensors, offer perhaps the most viable means to develop global precipitation retrievals. Measurements from the Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Mission (GPM) will exploit such data to provide global, three-hourly precipitation monitoring. Much research and development needs to be done to prepare for the GPM core satellite launch in 2013. The next three years is the most critical time to develop and deliver the pre-launch algorithms. We’ll work closely with several Precipitation Measurement Missions (PMM) science team working groups (WGs) and team members to develop and deliver the baseline precipitation algorithms over land.

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131 – Impact of Moisture Conditions on Twomey Effect
Principal Investigator(s): Z. Li

Generally, aerosols suppress shallow cloud development and precipitation process through Twomey effect and aerosol second indirect effect. However, it is not always the case if the meteorological variables change. Previous studies have shown the possibility of anti-Twomey effect. This study attempts to identify and evaluate the dependence of aerosol effects on meteorological variables using both RACORO (Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations) aircraft field campaign data, long-term GOES (Geostationary Operational Environmental Satellite) and surface observational data in ARM SGP site. During the RACORO campaign (January to June, 2009), 57 flights were taken, and half of them were inside the boundary layer clouds. The obtained long-term representative statistics of cloud microphysical and aerosol properties of the atmosphere make the statistical average methods possible. These data could also support model simulations of boundary layer clouds. Various factors such as cloud water mixing ratio, RH, and liquid water content (LWC) are investigated.

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128 – Pilot Applications of the Chesapeake Bay Forecast System
Principal Investigator(s): A. Busalacchi

A project aimed at demonstrating the value and utility of applications of the Chesapeake Bay Forecast System (CBFS), a prototype regional integrated Earth System Model being developed and implemented at the University of Maryland Earth System Science Interdisciplinary Center. This pilot effort will develop several Pilot User Collaborations aimed at identifying and testing methods for applying CBFS forecast products to sector-specific needs.

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116 – Automating Boundary Layer Detection for Aerosol Lidar
Principal Investigator(s): Z. Li

The planetary boundary layer (PBL) varies in depth on a time scale of minutes to hours, with implications for aerosol transport, surface air quality, and radiative forcing. Unfortunately the most direct method for observing the PBL top height, via thermodynamic profiles from radiosonde launches, is available only four times per day even during intensive campaigns and less frequently than that during normal operational use. The timing of the launches seldom corresponds to the extremes of the diurnal cycle. Because a higher temporal resolution for PBL measurements would be valuable to modeling efforts, remote sensing methods are an important potential source. In order to determine whether aerosol profiles detected by micropulse lidar can serve as effective proxies of the thermodynamic structure, PBL heights derived from them must be compared to PBL heights taken from radiosonde and other thermodynamic profiles, such as AERI retrievals. All three sets of measurements are available at the ARM SGP site; intensive collocated radiosonde and MPL data come from the ICEALOT research cruise of March-April 2008.

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