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Social donation is a means for individuals, government organizations, and non-government organizations (NGOs) to provide public products and services for society. Seeking social donation is vital in the improvement of the university. This paper probes into the relationship between social donation and university development by comparing social donation levels and practices in China with those in the U.S. The main reasons why social donations in Chinese universities are relatively low are as follows: (1) independent NGOs have not been formed; (2) the system and mechanism of social donation are not perfect, and (3) many restricting factors of social culture still exist in China.

Terrestrial water budget (TWB) data over large domains are of high interest for various hydrological applications. Spatiotemporally continuous and physically consistent estimations of TWB rely on land surface models (LSMs). As an augmentation of the operational North American Land Data Assimilation System Phase 2 (NLDAS-2) four-LSM ensemble, this study presents a 48-member perturbed-physics ensemble configured from the Noah LSM with multi-physics options Noah-MP). The 48 Noah-MP physics configurations are selected to give a representative cross-section of commonly used LSMs for parameterizing runoff, atmospheric surface layer turbulence, soil moisture limitation on photosynthesis, and stomatal conductance. The ensemble simulated the 1980--2015 monthly TWB over the conterminous United States (CONUS) at a 1/8° spatial resolution. Simulation outputs include total evapotranspiration and its constituents (canopy evaporation, soil evaporation, and transpiration), runoff (the surface and subsurface components), as well as terrestrial water storage (snow water equivalent, four-layer soil water content from the surface down to 2 m, and the groundwater storage anomaly). This dataset is available at https://doi.org/10.5281/zenodo.7109816 (Zheng et al., 2022). Evaluations carried out in this study and previous investigations show that the ensemble performs well in reproducing the observed terrestrial water storage, snow water equivalent, soil moisture, and runoff. Noah-MP complements the NLDAS models well, and adding Noah-MP consistently improves the NLDAS estimations of the above variables in most areas of CONUS. Besides, the perturbed-physics ensemble facilities the identification of model deficiencies. The parameterizations of shallow snow, lakes, and near-surface atmospheric turbulence should be improved in future model versions. [ABSTRACT FROM AUTHOR]

The National Elevation, Hydrography and Land Cover datasets of the United States have been synthesized into a geospatial dataset called NHDPlus which is referenced to a spheroidal Earth, provides geospatial data layers for topography on 30 m rasters, and has vector coverages for catchments and river reaches. In this article, we examine the integration of NHDPlus with the Noah-distributed model. In order to retain compatibility with atmospheric models, Noah-distributed utilizes surface domain fields referenced to a spherical rather than spheroidal Earth in its computation of vertical land surface/atmosphere water and energy budgets (at coarse resolution) as well as horizontal cell-to-cell water routing across the land surface and through the shallow subsurface (at fine resolution). Two data-centric issues affecting the linkage between Noah-distributed and NHDPlus are examined: (1) the shape of the Earth; and (2) the linking of gridded landscape with a vector representation of the stream and river network. At mid-latitudes the errors due to projections between spherical and spheroidal representations of the Earth are significant. A catchment-based “pour point” technique is developed to link the raster and vector data to provide lateral inflow from the landscape to a one-dimensional river model. We conclude that, when Noah-distributed is run uncoupled to an atmospheric model, it is advantageous to implement Noah-distributed at the native spatial scale of the digital elevation data and the spheroidal Earth of the NHDPlus dataset rather than transforming the NHDPlus dataset to fit the coarser resolution and spherical Earth shape of the Noah-distributed model. [ABSTRACT FROM AUTHOR]

Tiny openings on the surfaces of leaves, stomata, control the flux of CO[sub2] , water vapor, and other gases between the atmosphere and the earth's vegetated surface. An increase in atmospheric CO[sub2] could have an effect on stomatal openings, causing indirect changes in many surface hydroclimatogical variables that could be comparable in magnitude to the direct radiative effects. Increased atmospheric CO[sub2] is expected to increase water use efficiency in many plant types because of the closure of the stomatal openings on the leaf surface. The present study assesses this stomatal effect by doubling the stomatal resistance in two land surface schemes, the Biosphere-Atmosphere Transfer Scheme and the Land Surface Model, which are coupled to the National Center for Atmospheric Research's Community Climate Model version 3 atmospheric general circulation model, and by evaluating the resulting hydrometeorological responses, particularly for the western United States. Because the simulated reduction of stomatal openings restricts evapotranspiration, latent heat fluxes are reduced, causing global average annual and seasonal decreases in precipitation as well as increases in sensible heat flux, surface temperatures, runoff, and root-zone soil water. Global seasonal decreases in latent heat flux of up to 7percent occur, corresponding to surface temperature increases of up to 0.5°C and precipitation decreases of up to 3percent. Regional responses vary. A focus of this study was to examine how these changes affect runoff and stream flow in the southwestern United States. Contrary to a previous empirical study of this effect, which showed an 87percent mean increase in Arizona basin stream flow, this coupled land surface-atmospheric model shows no significant changes in any of the variables examined for this region. [ABSTRACT FROM AUTHOR]

E-cigarette licensure laws (ELLs) require retailers to obtain a state license to sell e-cigarettes over the counter. This study is the first to comprehensively explore the effect of ELL adoption on youth tobacco product use. Using data from the State Youth Risk Behavior Survey (YRBS) and a difference-in-differences approach, we find no evidence that ELL adoption reduces youth ENDS use. The precision of our estimates allows us to rule out, with 95 % confidence, ELL-induced declines in prior-month, frequent, and everyday youth ENDS use of more than 0.7, 0.3, and 0.4 percentage points, respectively. The pattern of null findings persists when we examine ELLs that impose higher penalties for retailer non-compliance, higher renewable licensure fees, and criminal in addition to civil penalties. We conclude that ELLs have only limited success in curbing access to ENDS among youths., (Copyright © 2024. Published by Elsevier B.V.)