Dr. Min Xu Profile

Dr. Min Xu

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Publications (6)

Proceedings Article | 27 September 2006 Paper

Validation of the TUV module in CWRF using USDA-UVB network observations

Min Xu, Xin-Zhong Liang, Wei Gao, James Slusser, Kenneth Kunkel

Proceedings Volume 6298, 62980N (2006) https://doi.org/10.1117/12.680122

KEYWORDS: Ultraviolet radiation, Atmospheric modeling, Aerosols, Climatology, Clouds, Ozone, Visible radiation, Reflectivity, Solar radiation models, Data modeling

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Proceedings Article | 27 September 2006 Paper

Preliminary results of a UV-B effect incorporated GOSSYM model

Xinli Wang, Wei Gao, K. Raja Reddy, James Slusser, Min Xu

Proceedings Volume 6298, 62980O (2006) https://doi.org/10.1117/12.681446

KEYWORDS: Radiation effects, Solar radiation models, Photosynthesis, Data modeling, Climatology, Nitrogen, Agriculture, Atmospheric modeling, Environmental management, Solar radiation

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Proceedings Article | 27 September 2006 Paper

Spectral distribution of UV-B irradiance derived by synthetic model compared with simulation results of TUV and ground measurements

Xinli Wang, Wei Gao, James Slusser, John Davis, Zhiqiang Gao, Gwen Scott, Becky Olson, Nickolay Krotkov, Min Xu, Xin-Zhong Liang

Proceedings Volume 6298, 62980L (2006) https://doi.org/10.1117/12.681464

KEYWORDS: Ultraviolet radiation, Data modeling, Radiometry, Ozone, Atmospheric modeling, Radiation effects, Agriculture, Ecosystems, Clouds, Calibration

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Multifilter rotating shadowband radiometers are deployed in the United States, Canada, and New Zealand by the USDA (United States Department of Agriculture) UV-B (ultraviolet-B) Monitoring and Research Program to measure UV-B irradiances at seven discrete wavelengths. A synthetic model is used to construct the continuous spectral distribution, from which irradiance integrals can be performed for various purposes. The derived spectral data are posted for public use through a web accessible database. Although the synthetic model has been validated with a certain data set, few works have been seen to compare the results of the synthetic model with simulations of other widely accepted models such as TUV. Through this comparison the validation of the synthetic model can be further confirmed and alternative techniques for constructing spectral irradiances from discrete narrowband measurements can also be explored. In this study the data from the USDA UV-B Monitoring and Research Program are used to evaluate the synthetic model and to explore the capability of the TUV model for constructing continuous spectra from discrete measurements. Simulations of the TUV model are compared with discrete measurements, erythema-weighted broadband measurements, and the results of the synthetic model. Good agreements between derived results by using TUV model and the synthetic model with measurements in general further confirm the validation of the synthetic model. Generally, the spectral irradiances constructed by using synthetic model are lower than those by using the TUV model at very shorter wavelengths (<301 nm) and at the wavelengths of 315-342 nm, but are higher at other wavelengths. The ratio of erythemal doses derived by using the TUV simulation to broadband measurements varies between 0.87-1.02. Constructed erythemal doses by using the TUV simulation are closer to broadband measurements than those obtained by using the synthetic model. These results suggest that the TUV model may be a good alternative to accurately estimate continuous spectral distributions from discrete measurements.

Proceedings Article | 1 September 2005 Paper

Preliminary results of the coupled CWRF-GOSSYM system

Min Xu, Xin-Zhong Liang, Wei Gao, K. Raja Reddy, James Slusser, Kenneth Kunkel

Proceedings Volume 5884, 588409 (2005) https://doi.org/10.1117/12.621017

KEYWORDS: Solar radiation models, Climatology, Soil science, Data modeling, Solar radiation, Agriculture, Vegetation, Nitrogen, Meteorology, Performance modeling

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Proceedings Article | 1 September 2005 Paper

Construction of surface boundary conditions for regional climate modeling in China by using the remote sensing data

Wei Gao, Zhiqiang Gao, Hyun Choi, Min Xu, James Slusser

Proceedings Volume 5884, 588413 (2005) https://doi.org/10.1117/12.620149

KEYWORDS: Climatology, Data modeling, Remote sensing, Climate change, Environmental sensing, Vegetation, Ecosystems, Agriculture, Satellites, Geographic information systems

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The continuing rise in atmospheric CO2 is considered as a main cause of the future changes in global climate. Predicted climate changes include an increase in mean annual air temperature and alterations in precipitation pattern and cloud cover. Elevated atmospheric CO₂ and climate changes are expected to influence the ecosystems. The regional climate models (RCMs) will likely remain primary tools for climate prediction in the foreseeable future. The importance of RCMs is increasing in addressing scientific problems associated with climate variability, changes, and impacts at regional scales. The RCMs have been also used in climate impact studies on ecosystems, especially in agricultural crops by generating climate scenarios for input to crop models. With a large volume of satellite remote sensing data of the earth terrestrial surface becoming available, precisely monitoring the dynamics of the land surface state variables for agricultural and land use management becomes possible6. With the effort to study the climate crop interactions we plan to use a CWRF model (a climate extension of the Weather Research and Forecasting model-WRF) developed by the Illinois State Water Survey to form the climate scenarios. The WRF model is based upon the most advanced supercomputing technologies and promises greater efficiency in computation and flexibility in new module incorporation. This extension inclusively incorporates all WRF functionalities for numerical weather predictions while enhancing the capability for climate applications. To represent the surface-atmosphere interactions the CWRF requires specification of surface boundary conditions (SBCs) over both land and oceans. A comprehensive set of SBCs based on best observational data is desired for CWRF general applications for all effective, dynamically coupled or uncoupled, combinations of the surface modules, as well as for any specific region of the world. This report followed the approach of Liang et al. presents a preliminary work to construct vegetative SBCs for the CWRF modeling effort in China domain by using remote sensing data from TM, AVHRR, MODIS which are freely available. The full list of the CWRF SBCs was defined by Liang.

Proceedings Article | 9 November 2004 Paper

New land surface albedo parameterization based on MODIS data: preliminary result

Xin-Zhong Liang, Min Xu, Wei Gao, Kenneth Kunkel, James Slusser, Yongjiu Dai, Qilong Min

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.563449

KEYWORDS: MODIS, Visible radiation, Vegetation, Soil science, Data modeling, Climatology, Composites, Bidirectional reflectance transmission function, Reflectivity, Optimization (mathematics)

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