Diurnal simulation models of weather data for improved predictions of global climate changes
Most of our knowledge about the Earth has been assembled by those in Earth-science disciplines. Each of these disciplines has traditionally operated within its own frame of reference with little or no interaction. We now recognize global connections between the physical dynamics of the Earth system, and that knowledge from all Earth science disciplines is needed to describe this system. We begin to gain a new awareness of the common destiny of humanity beyond geographical and political boundaries. The need to be able to predict climate changes is imperative and the need to formulate policies to regulate the effects of human activities on global climate is compelling and critical at this point in human history. Yet the ability to do so requires an understanding of the highly complex and interactive mechanisms of climate. One essential ingredient in achieving this understanding is climatological data. Climatological data of the past are available, in the best case, every six hours per day, resolution that is not adequate for the study of the natural variability of climate. The picture of the past record of the Earth's history is incomplete and fragmentary as we look further back in time. Yet snapshots of past conditions can provide an important test bed for evolving models of Earth system processes operating on time-scales of decades to centuries. This research contributes to the reconstruction of the paleoclimate, the climate of the past, which links long and short timescales. In this research project three diurnal models are developed. They require four equally spaced data per day as a basis for simulating hourly data. The models use mathematical techniques, such as Fourier Transform, Fast Fourier Transform, and cubic's Spline. All models perform at an error rate of less than 10%. The models can be used to recreate past records in climate, in GCMs, in agriculture and all Earth Sciences.
- Research Organization:
- George Mason Univ., Fairfax, VA (United States)
- OSTI ID:
- 5571967
- Resource Relation:
- Other Information: Thesis (Ph.D.)
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
58 GEOSCIENCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
CLIMATES
DAILY VARIATIONS
SIMULATION
CLIMATIC CHANGE
FORECASTING
PALEOCLIMATOLOGY
CLIMATE MODELS
FOURIER TRANSFORMATION
MATHEMATICAL MODELS
INTEGRAL TRANSFORMATIONS
PALEONTOLOGY
TRANSFORMATIONS
VARIATIONS
540110*
580000 - Geosciences
990200 - Mathematics & Computers