Made available in DSpace on 2016-12-23T14:37:32Z (GMT). No. of bitstreams: 1 Microsoft_Word_-_Dissertacao Rosemberg versao final formatada[1].pdf: 1480130 bytes, checksum: 4de98bc2e3cbcc659885f6f04fc0bb54 (MD5) Previous issue date: 2007-03-30 / O presente trabalho teve por objetivo realizar um estudo das equações empíricas para estimativa da evapotranspiração de referência em comparação ao método padrão Penman-Monteith FAO 56 para as condições climáticas dos municípios de Sooretama, Cachoeiro de Itapemirim e Venda Nova do Imigrante localizados, respectivamente, nas regiões Norte, Sul e Serrana do Estado do Espírito Santo. Foram utilizadas as variáveis climáticas referentes ao período chuvoso (outubro, novembro e dezembro) do ano de 2005 e do período seco (junho julho e agosto) do ano de 2006, obtidas via plataforma de dados do CPTEC - INPE provenientes das estações automatizadas agrometeorológicas códigos nº 31957, 31958 e 31959, respectivamente. Para comparar os valores de ET0 estimados por meio das equações empíricas com os do método padrão Penman-Monteith (FAO56), foram considerados os parâmetros da equação de regressão (β0, β1), coeficiente de determinação (r²), coeficiente de correlação (r), estimativa do erro padrão (EEP), índice de concordância (d), índice de confiança ou desempenho (c), nas escalas diária, três, cinco e sete dias, para os meses estudados nas três localidades. Baseando-se nas condições climáticas de onde se realizou o trabalho e nos índices e parâmetros obtidos , tanto no período chuvoso (outubro, novembro e dezembro de 2005) quanto no seco (junho, julho e agosto de 2006), os melhores métodos foram: xvii) Penman (48) Original ( c médio = 0,94), FAO24 Penman Mod.(c médio = 0,93), FAO24 BC (c médio = 0,95), classificando-os com Ótimo desempenho, ii) Priestley- Taylor (PT) ( c médio = 0,90), Turc(61) (c médio = 0,88) e Makkink (Mk) (c médio = 0,88), classificando-os com desempenho Mbom, e iii) apresentando-se como pior método o de Hargreaves-Samani (HS) ( c médio = 0,45), classificando-o com desempenho Sofrível. / The present work had as objective to accomplish a study of the empiric equations for estimate of the reference evapotranspiration in comparison with the standard method Penman-Monteith FAO 56 for the climatic conditions of the municipal districts of Sooretama, Cachoeiro of Itapemirim and New Sale of the Immigrant located, respectively, in the areas North, South and Highland of Espírito Saint State. The climatic variables were used regarding to the rainy period (October, November and December) of the year of 2005 and of the dry period (June, July and August) of the year of 2006, obtained through platform of data of CPTEC - coming INPE of the stations automated agrometeorological codes no. 31957, 31958 and 31959, respectively. To compare the values of dear ET0 through the empiric equations with the one of the standard method Penman-Monteith (FAO56) the parameters of the regression equation were considered (ß0, ß1), determination xviii coefficient (r²), correlation coefficient (r), estimate of the standard mistake (EEP), agreement index (d), trust index or acting (c), in the scales daily rate, three, five seven days, for the months studied at the three places. Basing on the climatic conditions from where the work took place and in the indexes and obtained parameters, so much in the rainy period (October, November and December of 2005) as in the dry (June, July and August of 2006), the best methods were: i) Penman (48) Original (medium c = 0,94), FAO24 Penman Mod. (medium c = 0,93), FAO24 BC (medium c = 0,95), classifying them with Great acting, ii) Priestley-Taylor (PT) (medium c = 0,90), Turc(61) (medium c = 0,88) and Makkink (Mk) (medium c = 0,88), classifying them with acting Good acting, and iii) coming as worse method the one of Hargreaves-Samani (HS) (medium c = 0,45), classifying it with Bearable acting.

Le Sahel est particulièrement exposé à la variabilité de la mousson Ouest-Africaine dont les répercussions socio-économiques peuvent prendre un caractère dramatique. Cette région est en outre confrontée à l'une des plus fortes croissances démographiques jamais observées, se traduisant par une pression toujours plus forte sur de faibles ressources naturelles et un environnement fragile. Dans ce contexte, un enjeu important se situe dans notre capacité à proposer des outils aidant au suivi des ressources hydriques et végétales, et permettant d'anticiper les impacts climatiques et anthropiques à moyen terme sur ces ressources. Pour cela, il est indispensable d'étudier et mieux comprendre les processus d'échanges d'énergie et de matière à l'interface terre-atmosphère, qui contribuent à la régulation de la mousson d'une part et gouvernent le cycle hydrologique local et le développement végétal d'autre part. Les travaux réalisés s'inscrivent dans cette problématique, portant précisément sur l'analyse des cycles de l'eau et de l'énergie en région sahélienne sous les effets combinés du climat et de l'activité humaine. La démarche s'appuie sur une méthodologie alliant observations in situ et modélisation à base physique. L'étude a été réalisée dans la région centrale du Sahel, dont le système agricole traditionnel associe pastoralisme et cultures pluviales en alternance avec la jachère. Elle s'est appuyée sur le réseau d'observations éco-hydrologiques et énergétiques acquises en continu durant 7 années (2005-2012) par l'Observatoire AMMA CATCH au Sud-Ouest Niger. La qualité et la cohérence de ces observations ont permis de dresser des grands traits du fonctionnement éco-hydrologique des deux couverts végétaux les plus répandus dans la région : cultures de mil et jachères arbustives. Les observations ne permettent cependant pas à elles seules d'établir des bilans complets aux différentes échelles temporelles d'intérêt (infra-journalière à interannuelle). Une modélisation couplée détaillée des cycles de l'énergie et de l'eau a par conséquent été élaborée pour ces deux couverts, à l'aide du modèle de transferts sol-plante-atmosphère SiSPAT. Etalonné sur une période de 2 ans, le modèle a ensuite été validé sur les 5 autres années d'observation, en contraignant les paramètres du modèle à des valeurs physiquement réalistes. En bon accord avec les observations, cette modélisation pluriannuelle s'est révélée être un outil d'analyse précieux, intégrant toute la pertinence, la richesse et la cohérence du jeu de données. La représentativité de la période étudiée a permis d'en exploiter les résultats pour (1) analyser l'impact de la variabilité climatique sur les bilans d'eau et d'énergie aux différentes échelles temporelles et (2) fournir une première climatologie des flux et stocks d'eau et d'énergie à l'interface sol-végétation-atmosphère, à ces mêmes échelles. Les similitudes et différences de fonctionnement éco-hydrologique et énergétique entre écosystèmes ont été mises en évidence. Par exemple, l'évapotranspiration représente plus de 80% des précipitations annuelles et près de la moitié du rayonnement global au cœur de la mousson pour les deux sites. Sa distribution saisonnière et son partitionnement en évaporation du sol et transpiration des plantes diffèrent néanmoins entre les deux écosystèmes, tout comme le ruissellement, et le drainage sous la zone racinaire. Ce dernier apparaît significatif pour le champ de mil mais pas pour la jachère. Une analyse de sensibilité des processus aux caractéristiques du sol et du couvert a été réalisée. La robustesse des résultats produits devrait leur permettre de servir de référence pour les études des processus hydrologiques et énergétiques dans cette région. La modélisation ainsi construite présente un potentiel évident pour des études prospectives, relatives notamment au changement climatique ou à une évolution des pratiques agricoles. / The Sahel region is particularly exposed to the variability of the West African Monsoon, which may lead to dramatic socio-economical consequences. This region also has one of the highest demographic growth rates, resulting in an ever-increasing pressure on the scarce natural resources and fragile environment. In this context, a major challenge lies in our ability to provide appropriate tools for the monitoring of hydrological and vegetation resources. These tools should also be suitable for the prediction of climatic and anthropogenic impacts in the medium term. This requires a better understanding of energy and matter transfer processes at the earth-atmosphere interface. Indeed, the latter both play a role in the regulation of the monsoon and also drive the local hydrological cycle and vegetation development. The present research follows such a framework and consists specifically in analyzing the water and energy cycles in the Sahel region under the combined effects of climate and human activity. This is undertaken by developing a methodology combining the use of in situ observations and physically-based modelling. The study was conducted in the central Sahel, where traditional agricultural systems are formed by the association of pastoralism and rain-fed crops in rotation with fallow cycles. This study was based on the network of eco-hydrological and energy data acquired continuously during 7 years (2005-2012) by the South-West Niger AMMA-CATCH Observatory. Quality and consistency of these observations allowed analyzing the main features of the eco-hydrological functioning of the two main land-covers in the region: millet and fallow savannah. However, observations alone were not sufficient to compute comprehensive water and energy budgets at all the different time scales of interest (sub-daily to inter-annual). A detailed modelling of coupled water and energy cycles was therefore undertaken for these two land-covers, using the soil-vegetation-atmosphere transfer model SiSPAT. The model was first calibrated on a 2-year period, and further validated on the remaining 5-year observations, by constraining model parameters to physically realistic values. This multi-year modelling was in good agreement with the observations, and provided a precious analysis tool that integrated the relevance, richness and consistency of the dataset. Thanks to the representativeness of the studied period, results served at the different temporal scales to (1) analyze the impact of climatic variability on water and energy budgets and (2) produce a preliminary climatology for the water and energy fluxes and storages at the soil-vegetation-atmosphere interface. Similarities and differences in eco-hydrological and energy functioning between ecosystems were evidenced. For instance, evapotranspiration represented more than 80% of annual precipitations and close to half of the global radiation at the heart of the monsoon for both sites. Seasonal distribution and partitioning of evapotranspiration between soil evaporation and plants transpiration differed between the two ecosystems, as well as the runoff, and the drainage below the root zone which appeared significant for the millet field but not for the fallow site. A sensitivity analysis of the energy and water budgets to soil and vegetation characteristics was conducted. Robustness of the produced results should enable them to serve as reference for studies of water and energy processes in this region. The resulting calibrated model showed an obvious potential for prospective studies, such as those on climate change or on the evolution of agricultural practices.

The exact quantification of site water budget is a necessary precondition for successful and sustainable management of forests, agriculture and water resources. In this study the water balance was investigated at the spatial scale of canopies and at different temporal scales with focus on the monthly time scale. The estimation of the individual water balance components was primarily based on micrometeorological measurement methods. Evapotranspiration was assessed by the eddy-covariance (EC) method, while sap flow measurements were used to estimate transpiration. Interception was assessed by a combination of canopy drip, stem flow and precipitation (gross rainfall) measurements and soil moisture measurements were used to estimate the soil water storage. The combination of different measurement methods and the derivation of water balance components that are not directly measurable e.g. seepage and soil evaporation is a very complex task due to different scales of measurement, measurement uncertainties and the superposition of these effects. The quantification of uncertainties is a core point of the present study. The uncertainties were quantified for water balance component as well as for meteorological variables (e.g. wind speed, temperature, global radiation, net radiation and precipitation) that served as input data in water balance models. Furthermore, the influences of uncertainties were investigated in relation to numerical water balance simulations. Here, both the effects of uncertainties in input data and in reference data were analysed and evaluated. The study addresses three main topics. The first topic was the providing of reference data of evapotranspiration by EC measurements. Here, the processing of EC raw-data was of main concern with focus on the correction of the spectral attenuation. Four different methods of spectral correction were tested and compared. The estimated correction coefficients were significantly different between all methods. However, the effects were small to absolute values on half-hourly time scale. In contrast to half-hour data sets, the method had significant influence to estimated monthly totals of evapotranspiration. The second main topic dealt with the comparison of water balances between a spruce (Picea abies) and a beech (Fagus sylvatica) site. Both sites are located in the Tharandter Wald (Germany). Abiotic conditions are very similar at both sites. Thus, the comparison of both sites offered the opportunity to reveal differences in the water balance due to different dominant tree species. The aim was to estimate and to compare all individual components of the water balance by a combination of the above mentioned measurement methods. A major challenge was to overcome problems due different scales of measurements. Significant differences of the water balances between both sites occurred under untypical weather conditions. However, under typical condition the sites showed a similar behaviour. Here, the importance of involved uncertainties deserved special attention. Results showed that differences in the water balance between sites were blurred by uncertainties. The third main topic dealt with the effects of uncertainties on simulations of water balances with numerical models. These analyses were based on data of three sites (Spruce, Grass and Agricultural site). A kind of Monte-Carlo-Simulation (uncertainty model) was used to simulate effects of measurement uncertainties. Furthermore, the effects of model complexity and the effect of uncertainties in reference data on the evaluation of simulation results were investigated. Results showed that complex water balance models like BROOK90 have the ability to describe the general behaviour and tendencies of a water balance. However, satisfying quantitative results were only reached under typical weather conditions. Under untypical weather e.g. droughts or extreme precipitation, the results significantly differed from actual (measured) values. In contrast to complex models, it was demonstrated that simple Black Box Models (e.g. HPTFs) are not suited for water balance simulations for the three sites tested here. / Die genaue Quantifizierung des Standortswasserhaushalts ist eine notwendige Voraussetzung für eine erfolgreiche und nachhaltige Bewirtschaftung von Wäldern, Äckern und Wasserressourcen. In dieser Studie wurde auf der Raumskala des Bestandes und auf verschieden Zeitskalen, jedoch vorrangig auf Monatsebene, die Wasserbilanz untersucht. Die Bestimmung der einzelnen Wasserbilanzkomponenten erfolgte hauptsächlich mit mikrometeorologischen Messmethoden. Die Eddy- Kovarianz- Methode (EC- Methode) wurde benutzt zur Messung der Evapotranspiration, während Xylem- Flussmessungen angewendet wurden, um die Transpiration zu bestimmen. Die Interzeption wurde aus Messungen des Bestandesniederschlags, des Stammablaufs und des Freilandniederschlags abgeleitet. Messungen der Bodenfeuchte dienten zur Abschätzung des Bodenwasservorrats. Die Kombination verschiedener Messmethoden und die Ableitung von nicht direkt messbaren Wasserhaushaltkomponenten (z.B. Versickerung und Bodenverdunstung) ist eine äußerst komplexe Aufgabe durch verschiedenen Messskalen, Messfehler und die Überlagerung dieser Effekte. Die Quantifizierung von Unsicherheiten ist ein Kernpunkt in dieser Studie. Dabei werden sowohl Unsicherheiten in Wasserhaushaltskomponenten als auch in meteorologischen Größen, welche als Eingangsdaten in Wasserbilanzmodellen dienen (z.B. Windgeschwindigkeit, Temperatur, Globalstrahlung, Nettostrahlung und Niederschlag) quantifiziert. Weiterführend wird der Einfluss von Unsicherheiten im Zusammenhang mit numerischen Wasserbilanzsimulationen untersucht. Dabei wird sowohl die Wirkung von Unsicherheiten in Eingangsdaten als auch in Referenzdaten analysiert und bewertet. Die Studie beinhaltet drei Hauptthemen. Das erste Thema widmet sich der Bereitstellung von Referenzdaten der Evapotranspiration mittels EC- Messungen. Dabei waren die Aufbereitung von EC- Rohdaten und insbesondere die Dämpfungskorrektur (Spektralkorrektur) der Schwerpunkt. Vier verschiedene Methoden zur Dämpfungskorrektur wurden getestet und verglichen. Die bestimmten Korrekturkoeffizienten unterschieden sich deutlich zwischen den einzelnen Methoden. Jedoch war der Einfluss auf die Absolutwerte halbstündlicher Datensätze gering. Im Gegensatz dazu hatte die Methode deutlichen Einfluss auf die ermittelten Monatssummen der Evapotranspiration. Das zweite Hauptthema beinhaltet einen Vergleich der Wasserbilanz eines Fichten- (Picea abies) mit der eines Buchenbestands (Fagus sylvatica). Beide Bestände befinden sich im Tharandter Wald (Deutschland). Die abiotischen Faktoren sind an beiden Standorten sehr ähnlich. Somit bietet der Vergleich die Möglichkeit Unterschiede in der Wasserbilanz, die durch unterschiedliche Hauptbaumarten verursacht wurden, zu analysieren. Das Ziel was es, die einzelnen Wasserbilanzkomponenten durch eine Kombination der eingangs genanten Messmethoden zu bestimmen und zu vergleichen. Ein Hauptproblem dabei war die Umgehung der unterschiedlichen Messskalen. Deutliche Unterschiede zwischen den beiden Standorten traten nur unter untypischen Wetterbedingungen auf. Unter typischen Bedingungen zeigten die Bestände jedoch ein ähnliches Verhalten. An dieser Stelle erlangten Messunsicherheiten besondere Bedeutung. So demonstrierten die Ergebnisse, dass Unterschiede in der Wasserbilanz beider Standorte durch Messunsicherheiten verwischt wurden. Das dritte Hauptthema behandelt die Wirkung von Unsicherheiten auf Wasserbilanzsimulationen mittels numerischer Modelle. Die Analysen basierten auf Daten von drei Messstationen (Fichten-, Grasland- und Agrarstandort). Es wurde eine Art Monte-Carlo-Simulation eingesetzt, um die Wirkung von Messunsicherheiten zu simulieren. Ferner wurden auch der Einfluss der Modellkomplexität und die Effekte von Unsicherheiten in Referenzdaten auf die Bewertung von Modellergebnissen untersucht. Die Ergebnisse zeigten, dass komplexe Wasserhaushaltsmodelle wie BROOK90 in der Lage sind, das Verhalten und Tendenzen der Wasserbilanz abzubilden. Jedoch wurden zufriedenstellende quantitative Ergebnisse nur unter üblichen Wetterbedingungen erzielt. Unter untypischen Wetterbedingungen (Dürreperioden, Extremniederschläge) wichen die Ergebnisse deutlich vom tatsächlichen (gemessenen) Wert ab. Im Gegensatz zu komplexen Modellen zeigte sich, dass Black Box Modelle (HPTFs) nicht für Wasserhaushaltssimulation an den drei genannten Messstandorten geeignet sind.

Since 2011, California has been under drought conditions. These conditions have not only affected water availability for farmers, but also production. California’s second most valuable crop, almonds, has been affected by drought conditions. This study used three models (Model 1-3) to describe almond yield variability from year to year and almond yield variability within a year in Kern County, CA. The study evaluated 185 almond farms that were classified in three locations (east side, west side and north west side). The years of the study were 2011 (wet year) and 2013-2015 (drought condition years). Model 1 determined a functional regression between almond yield and annual evapotranspiration during the 4 years of the study. The R2was 7.9%, meaning low association between both variables and high unexplained variability (92.1%). Model 2 evaluated year to year variation. A regression function between almond yield and annual evapotranspiration after adjusting for location, precipitation, chilling hours and year was made. The R2of this model 62.6%, and all the variables used had a p2was higher than Model 1; however, there was high unexplained variability (47.4%). Model 3 evaluated within-year variation. A regression function between almond yield and annual evapotranspiration after adjusting for tree age and location (east, west and northwest side) was made for each year (2011 and 2013 -2015). Coefficient of variation of evapotranspiration and soil available water storage were analyzed as additional variables in Model 3; however, they were not introduced in Model 3 due to the low increase in R2 in each year (2 of Model 3 for each year were, 60.4%, 49.7%, 53.8% and 53.2% for the years 2011, 2013-2015, respectively. Model 3 also had high unexplained almond yield variability in each year (39.6%-50.3%). This high unexplained variability leads to introduce additional variables to the functional regression model for further studies. Identifying these additional variables and having a functional regression model with high R2 would lead to understand howlow evapotranspiration could potentially lead to a positive response on yield in drought conditions; thus, making farmers improve water use efficiency and hence, lowering production cost. However, the high unexplained variability clearly indicates that evapotranspiration is only one of many factors that influence yield. If improved yield is an important outcome, future studies must examine large- scale almond-producing farms with multiple agricultural system variables.

The aim of this thesis was to investigate the processes behind an unexpected runoff behaviour after a clear-cut in a boreal forest in northern Sweden (Balsjö). The risks of increased flooding, erosion, nutrient leakage and changes in the local ecosystems are some reasons why it is important to fully understand the effect of clear-cuts on the water balance. In northern boreal forests the snow is of great importance as it results in the main hydrological event of the year, the spring flood. In general, open areas accumulate more snow, have a lower evapotranspiration and therefore maintain a higher runoff than a forest. In a recent paired catchment study at Balsjö the expected pattern after a clear-cut was only shown in three out of five years (2007-2011). The expected increase in runoff did not occur in 2010 and 2011. Two hypothesized alternatives were year-to-year variation of ET or changes in soil water storage. In order to investigate this further the rainfall-runoff model HBV was used. First, the model was calibrated for the forest catchment (Ref) and the clear-cut catchment (CC), using observed data from Balsjö. To account for parameter uncertainty the calibration was performed using parameter optimization, resulting in 100 different parameter sets. Model results were evaluated using observed snow data from Balsjö and ET from Flakaliden, a nearby forest. Both the simulated snow and ET were quite consistent with the observed values. Finally the annual and the spring water balance were studied, using the simulated data. The simulated results did not detect the unexpected runoff behavior for the two years as clearly as the observations. The reason for this was that the model was calibrated for all five years, which meant that annual variations were not taken into account. The hypothesis, that higher ET could be the reason for the unexpected runoff behavior, could neither be dismissed nor confirmed by this thesis. This was because there were no observed data for the clear-cut area and limitations within the HBV model, which meant that sublimation and interception processes could not be analyzed separately. The model results indicated that the change in soil water storage was a more likely explanation for the unexpected runoff behavior. The simulation result showed that the meltwater was stored in the soil water storage. However, this theory does not seem likely since a clear-cut is normally wetter than a forest. The results of this thesis are consistent with other studies as they indicate that clear-cut effects should be studied seasonally as well as annually. The special feature of this thesis was the opportunity to study observed ET and investigate its influence on the water balance.

La gestion efficace de l'eau dans les régions arides et semi-arides est un problème majeur, principalement dans les zones irriguées. La conception d'outils fournissant des estimations régionales des composantes du bilan hydrique peut aider à la gestion durable de la ressource en eau dans ces régions. La télédétection multi-capteurs a démontré un très fort potentiel pour le suivi des ressources hydriques agricoles à différentes échelles. Cette thèse vise à développer des techniques et des méthodes efficaces pour estimer les variables hydrologiques (évapotranspiration et les volumes d'irrigation) afin d'évaluer, dans l'espace (résolutions "métrique" et "kilométrique"), les besoins en eau des cultures du couvert végétal de la plaine de Kairouan (Tunisie centrale) ainsi que les volumes d'irrigation extraits de son aquifère surexploité. L'approche adoptée combine l'expérimentation, la modélisation et l'utilisation de données de télédétection multi-capteurs / multi-résolutions. Les deux types d'outils utilisés sont le modèle de bilan hydrique SAMIR et le modèle de bilan d'énergie SPARSE. Les variables estimées par SAMIR et SPARSE sont évaluées à l'aide des mesures terrain (mesures d'un scintillomètre XLAS) et des enquêtes de terrain (volumes d'irrigation observés). Les volumes d'irrigation saisonniers estimés par SAMIR sont acceptables, même si les résultats à des échelles de temps plus fines (mensuelles) doivent être améliorés. Ainsi, les paramètres de SAMIR, en particulier les paramètres non calibrés, sont revisités afin d'améliorer les performances de simulation de l'ET et des volumes d'irrigation. Les estimations des flux de chaleur sensible et latente par SPARSE sont en étroit accord avec celles obtenues à partir du XLAS. Cependant, l'extrapolation de l'évapotranspiration instantanée au pas de temps journalier est moins évidente. / In arid and semi-arid regions, efficient agricultural water management is a major issue, mainly in irrigated areas. The design of tools that provide an estimate of water balance components at the regional scale may help sustainable management of limited water resources in the water scarce regions. Remotely sensed Earth observation has become a major research field for agricultural water resources management. The main objective of this thesis is to develop and test efficient techniques and methods to estimate hydrological variables (Evapotranspiration (ET) and irrigation volumes) in order to assess, at "metric" and "kilometric" resolution , the crop water requirements and the extracted irrigation volumes in the Kairouan plain (central Tunisia). The adopted approach combines field experimentation, modeling and the use of multi-sensor / multi-resolution remote sensing data. Two modeling tools are used: the soil water balance model SAMIR and the energy balance model, SPARSE. SAMIR and SPARSE estimates are assessed using field measurements (Scintillometer XLAS measurements) and field surveys (observed irrigation volumes). The seasonal irrigation volumes estimated by the SAMIR model are acceptable, even though results at finer timescales (monthly and below) needed to be improved. Hence, the SAMIR model parameters, especially the uncalibrated ones are revisited in order to improve the results. SPARSE estimates of sensible and latent heat ?uxes are in close agreement with those obtained from the XLAS. However, the extrapolation from instantaneous to daily ET is less obvious.

Doctor of Philosophy / Department of Horticulture, Forestry, and Recreation Resources / Dale J. Bremer / Jack D. Fry / Researchers and practitioners can use numerous techniques to measure or estimate evapotranspiration (ET) from turfgrass but little is known about how they compare to ET using standard lysimeters. An investigation was conducted to compare measurements of ET from lysimeters (LYS[subscript]E[subscript]T) with ET estimates from the FAO56 Penman-Monteith (PM[subscript]E[subscript]T) and Priestley-Taylor (PT[subscript]E[subscript]T) empirical models, atmometers (AT[subscript]E[subscript]T), eddy covariance (EC[subscript]E[subscript]T), and a canopy stomatal conductance model that estimates transpiration (COND[subscript]T). Methods were compared at the same site during the 2010, 2011, and 2012 growing seasons. Overall, PT[subscript]E[subscript]T and EC[subscript]E[subscript]T were not different from LYS[subscript]E[subscript]T, whereas PM[subscript]E[subscript]T, AT[subscript]E[subscript]T, and COND[subscript]T, increasingly underestimated LYS[subscript]E[subscript]T. Differences exist among ET measurement techniques and one should employ the technique that best fits their situation. An atmometer is an inexpensive tool that can be used to measure turfgrass ET within microclimates, such as those typically found in an urban home lawn. An investigation was conducted to compare AT[subscript]E[subscript]T estimates with PM[subscript]E[subscript]T estimates within a number of lawn microclimates. Home lawns in Manhattan and Wichita, KS, were selected for study during the growing seasons of 2010 and 2011. Open sward AT[subscript]E[subscript]T was 4.73 mm d[superscript]-[superscript]1, whereas PM[subscript]E[subscript]T was 5.48 mm d[superscript]-[superscript]1. Within microclimates, AT[subscript]E[subscript]T was 3.94 mm d[superscript]-[superscript]1 and PM[subscript]E[subscript]T 3.23 mm d[superscript]-[superscript]1. Atmometers can provide practitioners with reliable estimates of PM[subscript]E[subscript]T within microclimates. Zoysiagrass (Zoysia spp.) is a common turfgrass used on home lawns and golf courses. However, poor shade tolerance and cold hardiness have limited its use in the transition zone. A study was conducted to determine changes and differences in growth and physiology among selected Zoysia over a three-year period (2010-2012) in the transition zone. The genotypes were 'Emerald' [Z. japonica × Z. pacifica], 'Zorro' [Z. matrella], 'Meyer' and Chinese Common [Z. japonica], and experimental progeny Exp1 [Z. matrella × Z. japonica], and Exp2 and Exp3 [(Z. japonica × Z. pacifica) × Z. japonica]. 'Zorro' and 'Emerald' experienced winter injury. 'Meyer', Chinese Common, and Exp1 showed poor performance over the three-years. The Exp2 and Exp3 progeny, maintained high percent cover, visual quality, and tiller density, and may provide practitioners more shade-tolerant cultivar choices in the transition zone.

Published Article / The objective of this study was to characterize meteorological droughts in the Central Region of South Africa, Modder River Basin, C52A quaternary catchment using two popular drought indices: Standardized Precipitation Index (SPI) and Standardized Precipitation-Evapotranspiration Index (SPEI) and to compare the two indices. Drought events were characterized based on their frequency, duration, magnitude and intensity. The indices were computed for the time-scales that are important for planning and management of water resources, i.e. 3-, 6- and 12-month time-scales. The basic meteorological input data used in the computation of these indices were 57 years (1950-2007) of monthly precipitation and monthly temperature data which were recorded at The Cliff weather station in the quaternary catchment. It was found that both SPI and SPEI responded to drought events in similar fashion in all time-scales. During the analysis period, a total of 37, 26 and 17 drought events were identified in the area based on 3-, 6-, and 12-month times-scales, respectively. Considering event magnitude as severity parameter, results from both indices identified the periods 1984-1985, 1992-1993 and 2003-2005 as the severest drought periods in the area. However, when the effects of both drought duration and magnitude are considered (drought intensity), the most severest drought events were identified during the years 1982/83, 1966 and 1973 based on 3-, 6- and 12-month timescales, respectively. It was concluded that although the SPEI generally exhibits veracity over SPI by including, apart from precipitation, additional meteorological parameter, mean temperature, SPI should be adopted as an appropriate drought monitoring tool in an area, like Africa, where meteorological data are scarce.

<p>The contribution of surface evapotranspiration (ET) to moist convection, cloudiness and precipitation along the eastern flanks of the Andes (EADS) was investigated using the Weather Research and Forecasting (ARW-WRF3.4.1) model with nested simulations of selected weather conditions down to 1.2 km grid spacing. To isolate the role of surface ET, numerical experiments were conducted using a quasi-idealized approach whereby at every time step the surface sensible heat effects are exactly the same as in the reference simulations, whereas the surface latent heat fluxes are prevented from entering the atmosphere. </p><p>Energy balance analysis indicates that local surface ET along the EADS influences moist convection primarily through its impact on conditional instability, because it acts as an important source of moist entropy in this region. The energy available for convection decreases by up to ~60% when the ET contribution is withdrawn. In contrast, when convective motion is not thermally driven, or under conditionally stable conditions, latent heating from the land surface becomes secondary. At the scale of the Andes proper, removal of surface ET weakens upslope flows by increasing static stability of the lower troposphere, as the vertical gradient of water vapor mixing ratio tends to be less negative. Consequently, moisture convergence is reduced over the EADS. In the absence of local surface ET, this process operates in concert with damped convective energy, suppressing cloudiness, and decreasing daily precipitation by up to ~50% in the simulations presented here.</p><p>When the surface ET is eliminated over the Amazon lowlands (AMZL), the results show that, without surface ET, daily precipitation within the AMZL drops by up to ~75%, but nearly doubles over the surrounded mountainous regions. This dramatic influence is attributed to a dipole structure of convergence-divergence anomalies over the AMZL, primarily due to the considerable cooling of the troposphere associated with suppressed convection. Further examination of moist static energy evolution indicates that the net decrease in CAPE (Convective Available Potential Energy) over the AMZL is due to the removal of surface ET that is only partially compensated by related regional circulation changes. Because of the concave shape of the Andean mountain range, the enhanced low-level divergence promotes air mass accumulation to the east of the central EADS. This perturbation becomes sufficiently strong around nightfall and produces significant eastward low-level pressure gradient force, rendering wind currents more away from the Andes. Moisture convergence and convection over the EADS vary accordingly, strengthened in the day but attenuated at night. Nocturnal convective motion, however, is more widespread. Analytical solutions of simplified diagnostic equations of convective fraction suggest that reduction of lower troposphere evaporation is the driving mechanism. Additional exploratory experiments mimicking various levels of thinning and densification of AMZL forests via changes in surface ET magnitude demonstrate that the connection between the AMZL ET and EADS precipitation is robust.</p> / Dissertation

Groundwater response to climate variability and land cover change is important for sustainable management of water resources in the Southwest US. Global Climate Models (GCM) project that the region will dry in the 21st century and the transition to a more arid climate may be under way. In semiarid Basin and Range systems, this impact is likely to be most pronounced in Mountain System Recharge (MSR), a process which constitutes a significant component of recharge in these basins. Despite the importance of MSR the physical processes that control MSR, and hence the climate change impacts, have not been fully investigated because of the complexity of recharge processes in mountainous catchments and limited observations. In this study, methodologies were developed to provide process-based understanding of MSR based on empirical and data-driven approaches. For the empirical approach, a hydrologically-based seasonal ratio the Normalized Seasonal Wetness Index (NSWI) was developed. It incorporates seasonal precipitation variability and temperature regimes to seasonal MSR estimation using existing empirical equations. Stable isotopic data was used to verify recharge partitioning. Using the NSWI and statistically downscaled monthly GCM precipitation and temperature data, climate change impacts on seasonal MSR are evaluated. Second, a novel data-based approach was developed to quantify mountain block recharge based on the catchment storage-discharge (S-Q) relationships and informed by isotopic data. Development of S-Q relationships across the Sabino Creek catchment, Arizona, allowed understanding of MBR dynamics across scale.Two ArcGIS desktop applications were developed for ArcGIS 9.2 to enhance recharge and evapotranspiration (ET) estimation: Arc-Recharge and RIPGIS-NET. Arc-Recharge was developed to quantify and distribute recharge along MODFLOW cells using spatially explicit precipitation data and a digital elevation model. RIPGIS-NET was developed to provide parameters for the RIP-ET package and to visualize MODFLOW results. RIP-ET is an improved MODFLOW ET module for simulating ET. RIPGIS-NET improves alluvial recharge estimation by providing spatially explicit riparian ET estimates. Using such tools and the above methods improves recharge and ET estimation in groundwater models by incorporating temporally and spatially explicit data and hence the assessment of climate variability and land cover change on groundwater resources can be improved.