3-km high resolution model outputs using the WRF and WRF-Hydro model for HRB

Here we provide the model outputs from the numerical climate model WRF (Weather Research and Forecasting) and its hydrological coupled model WRF-Hydro for the Heihe river basin (HRB). Model results are used for investigating the effect of lateral terrestrial water flow on regional climate modeling. The analysis results were published in a peer-reviewed journal at https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JD030174 Two experiments use the following model configuration: 3km horizontal resolution with 350*350 grid points, WSM6 microphysics, ACM2 PBL, and RRTM & Dudhia radiation scheme. WRF uses the Noah LSM, and WRF-Hydro uses the Noah LSM with enhanced lateral hydrological description (https://ral.ucar.edu/projects/wrf_hydro/overview). These simulations were conducted in the Leibniz Supercomputing Center (LRZ) SuperMUC.  Model outputs are provided in daily step (originally derived from the hourly output). Filename with "wrfout_selvar_P_ET_R_DRA" provides P, ET, surface runoff, drainage, and filename with "wrfout_selvar_T_Q2_SM_SH2O_AWS_CONV" provides T, specific humidity, soil moisture, and liquid water, atmosphere water storage and convergence. Tagged precipitation from upper HRB is also provided.</p

Forest plot of the prevalence of human papillomavirus in vulvar cancer.

Forest plot of the prevalence of human papillomavirus in vulvar cancer.</p

Forest plot for the association between human papillomavirus and recurrence-free survival in patients with vulvar cancer.

Forest plot for the association between human papillomavirus and recurrence-free survival in patients with vulvar cancer.</p

Forest plot for the association between human papillomavirus and overall survival in patients with vulvar cancer.

Forest plot for the association between human papillomavirus and overall survival in patients with vulvar cancer.</p

Forest plot for the association between human papillomavirus and disease-specific survival in patients with vulvar cancer.

Forest plot for the association between human papillomavirus and disease-specific survival in patients with vulvar cancer.</p

Correlation between HPV prevalence and the OS in vulvar cancer for the 8 studies.

Correlation between HPV prevalence and the OS in vulvar cancer for the 8 studies.</p

The main characteristics of the 33 studies included in the meta-analysis.

The main characteristics of the 33 studies included in the meta-analysis.</p

Forest plot for the subgroup analysis of ethnicity.

Forest plot for the subgroup analysis of ethnicity.</p

The main survival indicators of the 9 studies for the meta-analysis.

The main survival indicators of the 9 studies for the meta-analysis.</p

Forest plot for the association between human papillomavirus and disease-free survival in patients with vulvar cancer.

Forest plot for the association between human papillomavirus and disease-free survival in patients with vulvar cancer.</p