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Thin cirrus clouds play an important radiative role in the earth's atmosphere and climate system, yet are one of the least understood components of the climate system. With the use of data from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), thin cirrus and thick cloud distributions in the tropics are analyzed at 121, 100, and 82 hPa. Observations obtained between December 2006 and November 2007 show that thin cirrus between 30°N and 30°S occur in close proximity to regions of intense convection and are positively correlated with low values of outgoing longwave radiation (OLR). In conjunction with the CALIPSO data, water vapor data from the Earth Observing System (EOS) Microwave Limb Sounder (MLS), OLR data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at http://www.cdc.noaa.gov/, and linearly interpolated NCEP reanalysis temperature data were used. These data were used to examine how thick and thin cirrus cloud fractions at 121-hPa and 100-hPa are related to relative humidity with respect to ice (RHI), temperature, and OLR. Our observations show that both RHI and convection play important roles in the development and maintenance of thick and thin cirrus clouds at the pressure levels of interest. The highest fractions of clouds are almost always seen within OLR values representative of convection and at relatively high values of RHI. However, when peaks in cloud fraction are found above the convective threshold, higher RHI values are needed than are needed when convection is responsible for the formation and maintenance of these clouds.

Snowpack energy balance in forest environment: spatial and temporal variability of shortwave and longwave radiation Assessment of the role of forest on snowmelt processes and snowpack attributes contributes to the accuracy of spring floods forecasting. An importance of the coniferous forest consists in change of the snowpack energy balance. Forest reduces the total amount of solar radiation, however trees cause emitting of longwave radiation, both factors are fundamentally reflected in time of snowmelt in forest environment. Master thesis focuses on temporal and spatial variability of shortwave and longwave radiation depending on the structures of vegetation cover. Individual site types were defined as an open area, a forest affected by the bark beetle (Ips typographus) and a healthy coniferous forest, based on the hemispheric images of vegetation and its Leaf Area Index (LAI). Moreover, repeated manual measurements of the snow depth and snow water equivalent (SWE) were done in plots during winter period 2016/2017 in the Ptačí Brook catchment in the Šumava Mountains, and an analysis of shortwave and longwave radiation data the radiometers in plots was performed. Radiation fluxes in different plots were described in daily and seasonal scale, including the calculation of total heat from shortwave and...

Climate change is expected to increase the frequency, intensity and duration of droughts in all parts of the United States (US). Snow packs are disappearing earlier in the spring and summer, with reduced stream-flow. Lower reservoir levels, higher temperatures, and greater precipitation variability have been observed. Drought events in the US have threatened drinking water supplies for communities in Maryland and Chesapeake Bay as observed in 2001 through September 2002; Lake Mead in Las Vegas in 2000 through 2004; Peace River and Lake Okeechobee in South Florida in 2006; and Lake Lanier in Atlanta, Georgia in 2007. ENSO influences the climate of Florida; where El Niño years tend to be cooler and wetter, while La Niña years tend to be warmer and drier than normal in the fall through the spring, with the strongest effect in the winter. Both prolonged heavy rainfall and drought potentially have impacts on land uses and many aspects of Florida's economy and quality of life. Drought indices could integrate various hydrological and meteorological parameters and quantify climate anomalies in terms of intensity, duration, and spatial extent, thus making it easier to communicate information to diverse users. Hence, understanding local ENSO patterns on regional scales and developing a new land use drought index in Florida are critical in agriculture and water resources planning and managements. Current drought indices have limitations and drawbacks such as calculation using climate data from meteorological stations, which are point measurements. In addition, weather stations are scarce in remote areas and are not uniformly distributed. Currently used drought indices like the iv PDSI and the Standardized Precipitation Index (SPI) could not fully demonstrate the land use effects. Other limitations include no single index that addresses universal drought impact. Hence, there is a renewed interest to develop a new “Regional Land Use Drought Index (RLDI) that could be applied for various land use areas and serve for short term water resources planning. In this study, the first and second research topics investigated water and energy budgets on the specific and important land use areas (urban, forest, agriculture and lake) in the State of Florida by using the North American Regional Reanalysis (NARR) reanalysis data. NARR data were used to understand how drought events, EI Niño, La Niña, and seasonal and inter-annual variations in climatic variables affect the hydrologic and energy cycle over different land use areas. The results showed that the NARR data could provide valuable, independent analysis of the water and energy budgets for various land uses in Florida. Finally, the high resolution land use (32km×32km) adapted drought indices were developed based on the NARR data from 1979 to 2002. The new regional land use drought indices were developed from normalized Bowen ratio and the results showed that they could reflect not only the level of severity in drought events resulting from land use effects, but also La Niña driven drought impacts.

This thesis deals with tropical intraseasonal variation (TISV) having time scales in 20-80 day range. Variations on this time scale have been observed to have profound influence on the weather and climate of the entire globe, and hence its study forms an important area of current research. A large number of studies have been carried out on this topic since the pioneering work of Madden and Julian in 1971. However, the observational studies are biased towards using the outgoing longwave radiation (OLR) as the variable of interest, and other variables, pressure in particular, have received less attention. The present thesis explores features of intraseasonal variations in sea level pressure (SLP) with the following main objectives. 1. Compare and contrast wavenumber – frequency spectra of OLR, zonal winds and SLP. 2. Quantify temporal and spatial variations of different tropical modes observed in the above variables. 3. Investigate intraseasonal variations in sea level pressure in the tropics and its meridional connections. 4. Document the movement of cloud bands during the periods of high and low TISV activity during different seasons. 5. Explore the relations between intraseasonal variations in SLP and monsoon rainfall over India. The study considered global data for a time period of 25 years from 1979 to 2003. Spectral analysis and correlations are the main tools of analysis. A combined FFT-wavelet spectral method, which uses FFT in longitude and wavelet transform in time, was developed for this purpose. This method provided an effective way of obtaining wavenumber - frequency spectra as well as in quantifying temporal variations of different modes. The transform gives spectral intensity as a function of wavenumber, frequency and time. The analysis is applied to OLR, zonal wind and SLP to understand spectral characteristics of different modes and their temporal variations. The thesis shows that the nature of spectra for OLR, SLP and wind is different although these variables are physically connected. OLR spectrum shows many of the equatorial modes observed from the previous studies for an equivalent depth of 40 m. Spectra of zonal winds at three vertical levels (850 mb, 500 mb and 200 mb) shows peaks corresponding to MJO, Kelvin modes at an equivalent depth of 75 m and Rossby Haurwitz modes. SLP spectrum is different from others. It has peaks at wavenumber zero and at MJO and Rossby Haurwitz modes. Another important new result of the thesis is the spatial and temporal behavior of SLP on intraseasonal time scales. It is shown that the the global atmosphere exhibits quasi-periodic oscillations in SLP with variations in the tropics and high latitudes strongly correlated but in opposite phases. Importantly, the strength of TISV is correlated with sea surface temperature (SST) anomalies in the equatorial Pacific Ocean. This may have some predictive value for predicting the active and weak TISV activity.

Modern tools, nontraditional datasets and a better understanding of the interaction between climate and ecohydrology are continuously being developed as today's society is in critical need for improving water management, predicting hydrometeorological hazards and forecasting future climate. In particular, the study of the intra- and inter-annual variations in grass productivity and evapotranspiration caused by variations in precipitation/soil moisture and other biophysical factors is of great significance due to their relation to future climatic changes. The research presented here falls in three parts. In the first part of the dissertation, a land use adaptable model, based on the superposition of the temperature and water vapor pressure effects, is proposed for the effective clear sky emissivity. Ground radiometer and meteorological data, applicable in the subtropical climate of Saint Johns River Water Management District, Florida, were utilized for the model development over the spring season of 2004. The performance of this model was systematically evaluated by pertinent comparisons with previously established models using data over various land covers. The second part of the thesis investigates the dynamics of evapotranspiration with respect to its significant environmental and biological controls over an unmanaged bahia grassland. Eddy correlation measurements were carried out at a flux tower in Central Florida over the annual course of 2004. The main focus was on the sensitivity of the water vapor flux to wetness variables, namely the volumetric soil water content and the current precipitation index. It was shown that the time scales involved with the dynamics of evapotranspiration were on the order of six days, suggesting that depletion of the soil moisture was mostly responsible for the temporal fluctuations in evapotranspiration. Finally, simple models for the Priestley-Taylor factor were employed in terms of water availability, and the modeled results closely matched the eddy covariance flux values on daily time scale during all moisture conditions. In the third part of this work, the partitioning between latent and sensible heat fluxes was systematically examined with respect to biophysical factors. It was found that the seasonal variations in leaf area index, soil water content and net radiation were reflected in a strong seasonal pattern of the energy balance. Calculations of the bulk parameters, namely Priestley-Taylor parameter and decoupling coefficient, indicated that evapotranspiration of this grassland was controlled by water supply limitations and surface conductance. At an annual basis, the cumulative evapotranspiration was 59 percent of the precipitation received at the site. The results of this research complemented with other studies will promote better understanding of land-atmosphere interactions, accurate parameterizations of hydroclimatic models, and assessment of climate impact of grassland ecosystems.

Climate modeling and tropical cyclone forecasting are two significant is- sues that are continuously being improved upon for more accurate weather forecasting and preparedness. In this thesis, we have studied three climate models and formulated a new model with a view to determine the outgoing longwave radiation (OLR) budget at the top of the atmosphere (TOA) as ob- served by the National Oceanic and Atmospheric Administration’s (NOAA) satellite based Advanced Very High Resolution Radiometer (AVHRR). In 2006, Karnauskas proposed the African meridional OLR as an Atlantic hur- ricane predictor, the relation was further proven in 2016 by Karnauskas and Li. Here we have considered a similar study for all other tropical cyclone basins.

A lack of quality data on high clouds has led to inadequate representations within global weather and climate models. Recent advances in spaceborne measurements of the Earth’s atmosphere have provided complementary information on the interior of these clouds. This study demonstrate how an array of space-borne measurements can be used and combined, by close co-located comparisons in space and time, to form a more complete representation of high cloud processes and properties. High clouds are found in the upper atmosphere, where sub-zero temperatures frequently result in the formation of cloud particles that are composed of ice. Weather and climate models characterise the bulk properties of these ice particles to describe the current state of the cloud-sky atmosphere. By directly comparing measurements with simulations undertaken at the same place and time, this study demonstrates how improvements can be made to the representation of cloud properties. The results from this study will assist in the design of future cloud missions to provide a better quality input. These improvements will also help improve weather predictions and lower the uncertainty in cloud feedback response to increasing atmospheric temperature. Most clouds are difficult to monitor by more than one instrument due to continuous changes in: large-scale and sub-cloud scale circulation features, microphysical properties and processes and characteristic chemical signatures. This study undertakes co-located comparisons of high cloud data with a cloud ice dataset reported from the Microwave Limb Sounder (MLS) instrument onboard the Aura satellite that forms part of the A-train constellation. Data from the MLS science team include vertical profiles of temperature, ice water content (IWC) and the mixing ratios of several trace gases. Their vertical resolutions are 3 to 6 km. Initial investigations explore the link between cloud-top properties and the longwave radiation budget, developing methods for estimating cloud top heights using; longwave radiative fluxes, and IWC profiles. Synergistic trios of direct and indirect high cloud measurements were used to validate detections from the MLS by direct comparisons with two different A-train instruments; the NASA Moderate-resolution Imaging Spectroradiometer (MODIS) and the Clouds and the Earth’s Radiant Energy System (CERES) onboard on the Aqua satellite. This finding focuses later studies on two high cloud scene types that are well detected by the MLS; deep convective plumes that form from moist ascent, and their adjacent outflows that emanate outwards several hundred kilometres. The second part of the thesis identifies and characterises two different high cloud scenes in the tropics. Direct observational data is used to refine calculations of the climate sensitivity to upper tropospheric humidity and high cloud in different conditions. The data reveals several discernible features of convective outflows are identified using a large sample of MLS data. The key finding, facilitated by the use of co-location, reveals that deep convective plumes exert a large longwave warming effect on the local climate of 52 ± 28Wm−2, with their adjacent outflows presenting a more modest warming of 33 ± 20Wm−2.

The purpose of this study is to develop an improved human radiation exchange model for use by planners and researchers. Although applicable for all environments, emphasis will be on urban areas. All processes of radiation exchange between the human body surface and surrounding environments were investigated through human body area factors (effective radiation area factor, feff, and projected area factor, fp), existing human thermal exchange models and three-dimensional (3D) computer simulation models with collected microclimatic data. For new body area factors, a sample of standing contemporary Canadian adults in normal-weight (male: 31 persons, female: 40) and over-weight (male: 48, female: 20) body mass index (BMI) categories were analyzed. A 3D mean body model was created for each category. Only very small differences in feff and fp were found between genders and BMI categories. Differences in feff and fp values between this study and previous studies were very large, up to 0.101 and 0.173, respectively. Another common body posture, walking, was also studied for the normal-weight male and female BMI categories. 3D computer walking body models at four stride positions were created. The directionless fp values for walking posture had minor differences between genders and positions in a stride. However, the differences of mean directional fp values between azimuth angles were great enough (up to 0.072) to create important differences in modeled radiation receipt. When both standing and walking postures are considered, the mean feff value of standing (0.826) and walking (0.846), 0.836, could be used. However, fp values should be selected carefully because differences between directional and directionless fp values were large enough that they could influence the estimated level of human thermal sensation. A new human radiation exchange model was developed using the new body area factors and compared with five existing models and one method (Burt, COMFA, MENEX, OUT_SET* and RayMan models and the six-directional method) using collected microclimatic data observed in Guelph, Ontario, Canada. Most differences between models came from absorbed solar radiation, especially absorbed direct beam solar radiation because of differences in fp* (=fp×feff) and feff or some missing components (feff or view factors). The lowest differences between the new model and the RayMan model alter the net all-wave radiation estimate up to 29 Wm-2, which can be significant in the human thermal exchange model. For 3D computer estimation, a new human-urban radiation exchange simulation model was developed combining the new human radiation exchange model and improved urban area factors (i.e., albedos and view factors of sunny and shaded building, ground and vegetation surfaces). The results of the new computer model were compared with microclimatic data collected in Nanaimo, B.C., Canada and Changwon, Republic of Korea as well as with two other 3D computer simulation programs, RayMan Pro and ENVI-met 3.1. The differences between the collected data and the new model were very small. Their correlation was very strong, over 0.99 for total radiation. RayMan Pro and ENVI-met 3.1 programs had larger differences, and their correlations with measured data were weaker than the new model’s. Accurate meteorological and urban setting data should be obtained for better results. The new model will give planners and researchers a simple tool to estimate accurate radiation effects in complex urban areas. / Graduate

Nachhaltige Architektur erfordert neue Bauformen, innovative Konstruktionen und die Verwendung neuartiger Baumaterialien. Zur Abschätzung des Risikos von feuchtebedingten Schäden finden Programme der hygrothermischen Bauteilsimulation Anwendung. Bei der Entwicklung solcher Simulationsprogramme spielt die korrekte Modellierung der Klimarandbedingungen eine entscheidende Rolle. Beim Übergang von der kurzwelligen horizontalen Strahlungsstromdichte auf die kurzwellige Strahlungsstromdichte eines beliebigen Bauteils müssen Himmelsrichtung der Flächennormalen und die Neigung des Bauteils zum Ausschluss von Eigenverschattung berücksichtigt werden. Das dargestellte integrale Modell erlaubt die Berechnung und Programmierung in einem hygrothermischen Simulationsprogramm. Für den Fall, dass nur Messwerte der globalen Strahlungsstromdichte zur Verfügung stehen, können die direkten und diffusen Anteile mithilfe geeigneter Modelle mit einer sehr guten Genauigkeit berechnet werden. Zur Berechnung der langwelligen Strahlungsbilanz eines Bauteils stehen nur selten jene Klimaparameter zur Verfügung, mit denen die atmosphärische langwellige Strahlungsflussdichte analytisch bestimmt werden kann, weshalb semi-empirische Modelle Anwendung finden müssen. Die langwellige Ausstrahlung der Atmosphäre kann mithilfe von bodennaher Lufttemperatur und Luftfeuchte sowie zweier Bedeckungsgrad-Indizes berechnet werden, welche die langwelligen Strahlungseigenschaften der Atmosphäre auf der Basis der vorhandenen kurzwelligen Strahlungsstromdichten beschreiben. Damit wird erstmals ein umfassendes Modell für die langwellige Strahlungsbilanz vorgelegt, welches alle Möglichkeiten der Datenverfügbarkeit berücksichtigt. Die Berechnung der Schlagregenstromdichte auf ein Bauteil kann mit den meisten vorliegenden semi-empirischen Modellen nur sehr ungenau erfolgen. Andere Verfahren, wie z.B. CFD-Simulationen, kommen wegen des beträchtlichen Aufwands meist nicht in Frage. Das bislang einzige vorliegende umfassende validierte semi-empirische Modell von Blocken kann durch die Berücksichtigung der mesoklimatischen Verhältnisse in seiner Genauigkeit verbessert werden. / Sustainable architecture requires new building design, innovative constructions and the use of newly developed building materials. In order to determine the risk of moisture-related damages, computer programs for hygrothermal building part simulation are being used. If one develops such a simulation program, correct modelling of climatic boundary conditions plays an important role. When calculating the shortwave solar radiation flux density at an arbitrary building part on the basis of the shortwave solar radiation flux density on the horizontal surface, one must take into consideration the orientation and the inclination of the building part in order to preclude self-shading. The presented integral model allows the calculation and the programming in a hygrothermal simulation program. If only measured values of global radiation flux density are available, direct and diffuse parts can be determined very precisely by means of validated models. When calculating the longwave radiation balance on a building part, the needed values for the correct determination of atmospheric longwave radiation are hardly available. That’s why semi-empirical models will be applied. The longwave radiation flux density of the atmosphere can be determined on the basis of near-ground temperature and relative humidity and two cloud cover indices, which describe the longwave irradiative properties of the atmosphere by means of available shortwave radiation flux densities. Therewith, firstly an integral model is being presented in order to determine longwave radiation balance, which considers all possibilities of data availability. Most models for determination of driving rain load work with very bad accuracy. Other methods such as computational fluid dynamics (CFD) are not possible for hygrothermal building part simulations because of the huge effort. The only fully validated semi-empirical model by Blocken can be improved, if meso-climatic boundary conditions are taken into consideration.