IP bans will be reconsidered on a case-by-case basis if you were running a bot and did not understand the consequences, but typically not for spamming, hacking, or other abuse. If you are responsible for one of the above issues. Having an excessive number of banned accounts in a very short timeframe.Running a web bot/spider that downloaded a very large number of pages - more than could possibly justified as "personal use".Automated spam (advertising) or intrustion attempts (hacking).This preprint has been withdrawn.Your current IP address has been blocked due to bad behavior, which generally means one of the following: Such calibrated distributed eco-hydrological models can be used for appraising scenarios of green growth. The availability of a reliable set of parameters will make SWAT a useful tool for optimizing water conservation, agricultural outputs, and ecosystem services such as reduced soil erosion, better water quality standards, carbon sequestration, micro-climate cooling amongst others. The estimated total water withdrawal from the Red River was 1.934 billion m 3/yr with a peak flow of approximately 200 m 3/s during the months of February and July. The monthly flow at two flow measurement stations were adequately estimated ( R 2 = 0.78 and 0.55, NSE = 0.71 and 0.63 for Phu Ly and Ninh Binh, respectively). Because river flow was not optimized during the calibration process, it could be used as an independent validation of the calibrated model simulations. Accumulated modelled ET over the 5-year calibration period amounted to 5713 mm compared to 6015 mm of remotely sensed ET: a non-significant difference of 302 mm (5.3 %). Simulated monthly ET correlations with remote sensing estimates showed an R 2 = 0.71 and NSE = 0.65 while monthly LAI showed correlations of R 2 = 0.59 and NSE = 0.57 over a five year validation period. The SUFI2 algorithm in SWAT-CUP appeared to be an adequate practical tool for the calibration process. A total of 15 soil-vegetation process parameters were calibrated. Such level of detail cannot be achieved from flow measurements, which are the integrated result of many processes over large areas. The innovation is that the parameters of the soil-vegetation processes were optimized for every Hydrological Response Unit for which remotely sensed monthly ET and LAI values were available. The efficacy of the SWAT-CUP parameter sensitivity and optimization model developed by Abbaspour (2015) was tested with spatial remote sensing input parameters. In this paper, remotely sensed precipitation, evapotranspiration (ET) and leaf area index (LAI) from open access data sources were used to calibrate the SWAT model for the Day Basin, a tributary of the Red River in Vietnam. A close match with flow does however not mean that the spatially distributed hydrological processes are properly understood and simulated. Distributed hydrological models are usually calibrated against the measured outflow of a certain drainage area, provided flow data is available.