Infrared thermography to assess thermoregulatory reactions of buffaloes supplemented with antioxidant and dense energy source in summer season

Twenty-four lactating buffaloes were chosen and subsequently divided into 4 groups i.e. group-I (control), group-II (supplemented astaxanthin at 0.25 mg kg-1 BW/day), group-III (prill fat at 100 g day-1), and group-IV (combination). Surface body temperature at different anatomical regions of buffaloes was recorded using infrared thermography (IRT), rectal temperature using a digital thermometer, and cortisol hormone by ELISA kit at the fortnightly interval. Forehead region temperature showed a higher correlation (0.390) with THI compared to other anatomical regions. The change in surface body temperature was positively correlated with THI and cortisol levels. The increase in the IRT temperature at different anatomical sites of buffaloes was at a lower magnitude in treatment groups compared to the control group. Udder surface temperature was higher in peak lactation and high producing buffaloes. Forehead region temperature showed a close relationship with rectal temperature and cortisol levels of buffaloes. According to the research findings, astaxanthin and prill fat can be used in ameliorating heat stress. Infrared thermography (non-invasive method) of the forehead and udder can be used as indicators for measuring the heat stress and production levels of buffaloes, respectively.

Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns

A newly upgraded German Weather Service (DWD) ozone and temperature lidar (HOH) located at the Hohenpeißenberg Meteorological Observatory (47.8∘ N, 11.0∘ E) has been evaluated through comparison with the travelling standard lidar operated by NASA's Goddard Space Flight Center (NASA GSFC Stratospheric Ozone (STROZ) lidar), satellite overpasses from the Microwave Limb Sounder (MLS), the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER), the Ozone Mapping and Profiler Suite (OMPS), meteorological radiosondes launched from Munich (65 km northeast), and locally launched ozonesondes. The “blind” evaluation was conducted under the framework of the Network for the Detection of Atmospheric Composition Change (NDACC) using 10 clear nights of measurements in 2018 and 2019. The campaign, referred to as the Hohenpeißenberg Ozone Profiling Study (HOPS), was conducted within the larger context of NDACC validation activities for European lidar stations. There was good agreement between all ozone lidar measurements in the range of 15 to 41 km with relative differences between co-located ozone profiles of less than ±10 %. Differences in the measured ozone number densities between the lidars and the locally launched ozone sondes were also generally less than 5 % below 30 km. The satellite ozone profiles demonstrated some differences with respect to the ground-based lidars which are due to sampling differences and geophysical variation. Both the original and new DWD lidars continue to meet the NDACC standard for lidar ozone profiles by exceeding 3 % accuracy between 16.5 and 43 km. Temperature differences for all instruments were less than ±5 K below 60 km, with larger differences present in the lidar–satellite comparisons above this region. Temperature differences between the DWD lidars met the NDACC accuracy requirements of ±1 K between 17 and 78 km. A unique cross-comparison between the HOPS campaign and a similar, recent campaign at Observatoire de Haute-Provence (Lidar Validation NDACC Experiment; LAVANDE) allowed for an investigation into potential biases in the NASA-STROZ reference lidar. The reference lidar may slightly underestimate ozone number densities above 43 km with respect to the French and German NDACC lidars. Below 20 km, the reference lidar temperatures profiles are 5 to 10 K cooler than the temperatures which are reported by the other instruments.

Reweigh Temperature as Estimator for Evaluation and Prediction

This study aimed to develop estimator for evaluation of reweigh temperature for prediction research extent. Research conducted in Jabalpur district of Madhya Pradesh, India, which comes under the humid subtropical climate region. Temperature recorded at one hour, two hour or three hour either side of maximum temperature may be averaged to get a plateaued value for that much time period. Hourly data on temperature recorded at Weather Underground site are regrouped into different temperature forms namely average of maximum and minimum temperature (Tav), weighted temperature (Twt), maximum temperature (Tmax), Temperature plateaued one hour, two hour and three hour either side of maximum temperature (Tp2, Tp4 and Tp6 respectively). These temperature forms are plotted for all twelve months. Integration of Tav and Tmax was done for estimation of weighted temperature. Values of coefficient of determination raised from fitting of linear regression between each of temperature form; Tmax, Tav, Twt, Tp2 Tp4 and Tp6 with actual pan evaporation. Data set comprises of daily records separately for all twelve months. Daily records are also regrouped into four more categories i.e. for whole year (365 days), hot months (April-May), cold months (December- January) and wet months (July-August). Though the r-squared values are found very low and explains that temperature alone cannot be taken as predictor of evaporation, which is a well comparative fact, but the purpose of presenting these values here to show the comparative effect of different temperature forms on evaporation. In hot months, the Twt with r-squared values of 0.49 seems to be more correlated than other temperature forms. But, in cold months Tmax, Tp2, Tp4 and Tp6 have more influence on evaporation than the Tav or Twt. The research outcome of the present study will be helpful to estimation of reweigh temperature rather average of maximum and minimum temperature for use in prediction research work.

Evaluation of the New NDACC Ozone and Temperature Lidar at Hohenpeißenberg and Comparison of Results with Previous NDACC Campaigns

A newly upgraded German Weather Service (DWD) ozone and temperature lidar (HOH) located at the Hohenpeißenberg Meteorological Observatory (47.8° N, 11.0° E) has been evaluated through comparison with the travelling standard lidar operated by NASA's Goddard Space Flight Center (NASA STROZ), satellite overpasses from the Microwave Limb Sounder (MLS), the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER), the Ozone Mapping and Profiler Suite (OMPS), meteorological radiosondes launched from München (65 km north-east), and locally launched ozonesondes. The blind evaluation was conducted under the framework of the Network for the Detection of Atmospheric Composition Change (NDACC) using 10 clear nights of measurements in 2018 and 2019. This campaign was conducted within the larger context of NDACC validation activities for European lidar stations. The previous 2017–2018 validation campaign took place at the French Observatoire de Haute Provence and and showed a high degree of fidelity between participating instruments. The results are reported in the companion article (Wing et al., 2020). There was good agreement between all ozone lidar measurements in the range of 15 to 41 km with relative differences between co-located ozone profiles of less than ±10 %. Differences in the measured ozone numbers densities between the lidars and the locally launched ozone sondes were also generally less than 5 % below 30 km. The satellite ozone profiles demonstrated some differences with respect to the ground based lidars which are due to sampling differences and geophysical variation. Temperatures differences for all instruments were less than ±5 K below 60 km, with larger differences present in the lidar-satellite comparisons above this region. Temperature differences between the lidars met the NDACC accuracy requirements of ±1 K between 17 and 78 km. The NASA lidar exhibited slightly colder temperatures, between 5 and 10 K, than the other instruments below 20 km and slightly warmer temperatures, 5 to 10 K, above 70 km. These differences are likely due to algorithm initialisation choices and photon count saturation corrections.

Estudo da dinâmica espaço-temporal do NDVI no Município de Sorriso-MT

A cidade de Sorriso-MT é considerada a capital do agronegócio no Brasil e maior produtora individual de soja do mundo. A expansão agrícola no Município de Sorriso no Estado de Mato Grosso se deu nos anos 70 com o favorecimento do governo federal estimulando a chegada de famílias provenientes do Sul do País. Diante disso, o objetivo desse trabalho foi avaliar a dinâmica espaço-temporal do NDVI no Município por meio de sensoriamento remoto. Utilizou-se imagens do satélite Landsat-5 (TM), entre os anos de 1984 e 2011. O processamento dessas imagens foi realizado por meio do programa ArcGIS 10.3 e linguagem Python. A estimativa da expansão das áreas de cultivo e quantidade de áreas de mata nativa do Município foi calculado através do índice de vegetação da diferença normalizada - NDVI. Nossos resultados sugerem que as possíveis mudanças ocorridas no solo do Município podem estar afetando as variáveis climatológicas como a temperatura da região. O estudou demonstrou também que a expansão agrícola se intensificou após a emancipação do Município, com grande crescimento das áreas de cultivo e urbanização, tendo como consequência a diminuição das áreas de mata nativa.Palavra-chave: Processamento de imagens, Satélites, Índices de vegetação. Study of NDVI spatiotemporal dynamics in the city of Sorriso-MT A B S T R A C TThe Sorriso-MT city is considered the agribusiness capital in Brazil and the largest single soy producer in the world. The agricultural expansion of Sorriso in the state of Mato Grosso occurred in the 70's with the favor of the federal government encouraging the arrival of families from the south of the country. Therefore, the objective of this work was to evaluate the spatial-temporal dynamics of NDVI in the Municipality through remote sensing. Landsat-5 (TM) satellite images were used between 1984 and 2011. These images were processed using the ArcGIS 10.3 program and Python language. The estimate the expansion of the cultivated areas and the amount of native forest areas of the Municipality was calculated through the normalized difference vegetation index - NDVI. Our results suggest that possible changes in the soil of the municipality may be affecting climatic variables such as the region temperature. The study also showed that the agricultural expansion intensified after the emancipation of the Municipality, with great growth of cultivation and urbanization areas, resulting in the reduction of native forest areas.Keywords: Image processing, Satellites, Vegetation indexes

The thermal field across the Alpine orogen and its forelands and the relation to seismicity

<p>The Alpine orogen and its forelands comprise a multitude of crustal blocks from different tectonic providences and different physical properties. This implies that the thermal configuration of the lithosphere would also be expected to vary significantly throughout the region. Temperature is a key controlling factor for rock strength via thermally activated creep and it exerts a first order influence on the depth of the brittle-ductile transition zone, the lower bound to the seismogenic zone and the spatial distribution of seismicity. Here we present new results from INTEGRATE, a project in the DFG priority program Mountain Building in 4 Dimensions, as part of the AlpArray initiative, which aims to gain a better understanding of the structure, temperature and rheology of the crust and the uppermost mantle beneath the Alps and their forelands using multiple 3D modelling techniques. The overall goal is to test different hypotheses on the configuration of the lithosphere and its relation to the distribution of deformation and related seismicity in the Alpine region. We build on previous work of a 3D density differentiated structural model of the region that is consistent with deep seismic data and gravity, to calculate the 3D conductive steady state thermal field of the Alps and their forelands. The model is unique in using different thermal parameters for different tectonic domains and is validated with a dataset of wellbore temperatures from across the region. Comparing recorded seismicity to the calculated thermal field we find a systematic clustering of the deep seismic activity that correlates with different isotherms within individual crustal blocks, reflecting the presence of different dominant lithologies. These inferred lithologies in conjunction with the calculated temperatures and the previous 3D density-structural model of the region, can be used to shed light on the lateral changes in crustal strength within the Alps and their forelands, helping to explain the observed patterns of deformation.  </p>