The skill of hydrologic models, such as those used in operational flood prediction, is currently restricted by the availability of flow gauges and by the quality of the streamflow data used for calibration. The increased availability of remote sensing products provides the opportunity to further improve the model forecasting skill. A joint calibration scheme using streamflow measurements and remote sensing derived soil moisture values was examined and compared with a streamflow only calibration scheme. The efficacy of the two calibration schemes was tested in three modelling setups: 1) a lumped model; 2) a semi-distributed model with only the outlet gauge available for calibration; and 3) a semi-distributed model with multiple gauges available for calibration. The joint calibration scheme was found to slightly degrade the streamflow prediction at gauged sites during the calibration period compared with streamflow only calibration, but improvement was found at the same gauged sites during the independent validation period. A more consistent and statistically significant improvement was achieved at gauged sites not used in the calibration, due to the spatial information introduced by the remotely sensed soil moisture data. It was also found that the impact of using soil moisture for calibration tended to be stronger at the upstream and tributary sub-catchments than at the downstream sub-catchments.

水文模型的技能，例如用于洪水预报的模型，目前受到流量表的可用性和用于校准的水流数据质量的限制。遥感产品可用性的提高为进一步提高模型预测能力提供了机会。检查了使用流量测量和遥感得出的土壤湿度值的联合校准方案，并将其与仅使用流量的校准方案进行了比较。两种校准方案的功效在三种建模设置中进行了测试：1）集总模型； 2）集总模型。2）半分布式模型，仅出口压力表可用于校准；3）具有多个可用于校准的量规的半分布式模型。与仅进行流量校准相比，发现联合校准方案在校准期间会稍微降低标定站点上的流量预测，但在独立验证期内在相同标定站点上发现了改进。由于遥感土壤水分数据引入了空间信息，因此在未用于校准的测量地点获得了更加一致和统计学上显着的改善。还发现，使用土壤水分进行校准的影响在上游和支流子流域比在下游子流域要强。由于遥感土壤水分数据引入了空间信息，因此在未用于校准的测量地点获得了更加一致和统计学上显着的改善。还发现，使用土壤水分进行校准的影响在上游和支流子流域比在下游子流域要强。由于遥感土壤水分数据引入了空间信息，因此在未用于校准的测量地点获得了更加一致和统计学上显着的改善。还发现，使用土壤水分进行校准的影响在上游和支流子流域比在下游子流域要强。