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- Data for: Eddy covariance measurements of the dual-isotope composition of evapotranspirationThis supplementary material to the manuscript ' Eddy covariance measurements of the dual-isotope composition of evapotranspiration' includes all data used in figures in this manuscript as well as a discussion of effect of the storage of water vapor on net water vapor fluxes at the field site of our study.
- Data for: Phenology acts as a primary control of urban vegetation cooling and warming: a synthetic analysis of global site observationsThis dataset is collected from global published literatures. It mainly contains the local climate parameters, vegetative parameters and vegetation cooling information.
- Data for: Assessment of black globe thermometers employing various sensors and alternative materialsDatabase for the tests
- Data for: Copula-Based Probabilistic Risk Assessment of Extreme Climatic Events: Case Study of Frost in Malayer VineyardsThis paper, for the first time, outlines a robust probabilistic mathematical model for risk assessment of frost in vineyards due to extreme climatic conditions. Given the complicated, non-linear, and multifaceted meteorological nature of the frost problem in agricultural settings, the mathematical model described in this paper was successful in identifying and quantifying the risk and uncertainties associated with the frost events in vineyards. The mathematical model described in this paper was successfully tested for an area of exceptional international value for grapes and raisin production. The case study of this paper focused on vineyards and grape production in Malayer region in Iran, which is recognized by FAO as Globally Important Agricultural Heritage Systems (GIAHS). The comprehensive analysis of risk assessment and predictive models.
- Data for: "Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R"This supplementary material contains daily observations of soil water storage (2011-2012), meteorological data (1980-2013), and soil data from a poplar short rotation coppice located in Kaufering, Germany (folder "Input"). The data were used to conduct sensitivity analysis and Bayesian model calibration of the SVAT model LWF-Brook90 implemented in the LWFBrook90R R-package. The results of these simulations and calibrations are also included, so that the examples from the Appendix C and D of the manuscript can be reproduced without running the long computations.
- Code for: Extending a first-principles primary production model to predict wheat yieldsThe code for the Productivity model of Crop
- Data for: Implications of structural diversity for seasonal and annual carbon dioxide fluxes in two temperate deciduous forestsContains data and R codes used for the paper 'Implications of structural diversity for seasonal and annual carbon dioxide fluxes in two temperate deciduous forests'.
- Data for: Multiple-globe thermometer for measuring the air temperature without an aspirated radiation shieldThis dataset is the original data of the field experiment conducted in the paper “Multiple-globe thermometer for measuring the air temperature without an aspirated radiation shield” by Maruyama. The dataset includes meteorological data of the weather station in the Yawara rice field, temperature data of the standard thermometer, and temperature data of the developed thermometer. The temperature data of the developed thermometer include temperatures of the five globes with different diameters of 0.25, 0.5, 1, 2 and 4 mm. The diameter of the smallest globe in this experiment slightly deviated from 0.25 mm owing to the hand-processing of thermocouples, and the actual diameter was 0.28 mm. Ten-minute data are average values of the temperature measured every 10 s for 10 min. One-minute data are raw values of the temperature sampled every 1 min. One-hour data are the meteorological data of the weather station. A calculation sample containing exact formula and simple formula for obtaining the air temperature by the five-globe thermometer and three-globe thermometer are also included. Symbols in the dataset denote the following elements. Tair: Air temperature observed at the weather station (°C) RH: Relative humidity observed at the weather station (%) U: Wind speed observed at the weather station (m/s) Rs: Solar radiation observed at the weather station (W/m2) STD: Air temperature observed using a standard thermometer (°C) T1: Temperature of the globe with a 0.25-mm diameter (°C) T2: Temperature of the globe with a 0.5-mm diameter (°C) T3: Temperature of the globe with a 1-mm diameter (°C) T4: Temperature of the globe with a 2-mm diameter (°C) T5: Temperature of the globe with a 4-mm diameter (°C) 5GT: Air temperature obtained by the five-globe thermometer (°C) 3GT: Air temperature obtained by the three-globe thermometer (°C) 5GTs: Air temperature obtained by the five-globe thermometer using simple formula (°C) 3GTs: Air temperature obtained by the three-globe thermometer using simple formula (°C) Simple formulas are based on the Eq. (5) in the paper, and the air temperature Ta can be calculated as Ta = 0.6907 T1 + 0.5279 T2 + 0.2977 T3 - 0.0279 T4 - 0.4884 T5, (for the five-globe thermometer) Ta = T1 + 0.5 (T3 - T5), (for the three-globe thermometer)
- Data for: Impact of unusually wet permafrost soil on understory vegetation and CO2 exchange in a larch forest in eastern SiberiaMonthly CO2 flux by eddy covariance in a larch forest in eastern Siberia
- Data for: Sun zenith angular impact of vegetation clumping on site level photosynthesisThis contains all output files generated by JULES, all python scripts used to generate the figures in the paper. If you have any further questions please email renato.braghiere@gmail.com.
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