scholarly journals Estimating daily time series of streamflow using hydrological model calibrated based on satellite observations of river water surface width: Toward real world applications

2015 ◽  
Vol 139 ◽  
pp. 36-45 ◽  
Author(s):  
Wenchao Sun ◽  
Hiroshi Ishidaira ◽  
Satish Bastola ◽  
Jingshan Yu
Keyword(s):  
Time Series ◽  
River Water ◽  
Real World ◽  
Water Surface ◽  
Hydrological Model ◽  
Satellite Observations ◽  
Daily Time Series ◽  
Real World Applications ◽  
Daily Time

scholarly journals Selecting the optimal method to calculate daily global reference potential evaporation from CFSR reanalysis data for application in a hydrological model study

2012 ◽  
Vol 16 (3) ◽  
pp. 983-1000 ◽  
Author(s):  
F. C. Sperna Weiland ◽  
C. Tisseuil ◽  
H. H. Dürr ◽  
M. Vrac ◽  
L. P. H. van Beek
Keyword(s):  
Time Series ◽  
River Flow ◽  
Hydrological Model ◽  
Climate Impact ◽  
Potential Evaporation ◽  
Optimal Method ◽  
Climate Conditions ◽  
Daily Time Series ◽  
Monteith Equation ◽  
Daily Time

Abstract. Potential evaporation (PET) is one of the main inputs of hydrological models. Yet, there is limited consensus on which PET equation is most applicable in hydrological climate impact assessments. In this study six different methods to derive global scale reference PET daily time series from Climate Forecast System Reanalysis (CFSR) data are compared: Penman-Monteith, Priestley-Taylor and original and re-calibrated versions of the Hargreaves and Blaney-Criddle method. The calculated PET time series are (1) evaluated against global monthly Penman-Monteith PET time series calculated from CRU data and (2) tested on their usability for modeling of global discharge cycles. A major finding is that for part of the investigated basins the selection of a PET method may have only a minor influence on the resulting river flow. Within the hydrological model used in this study the bias related to the PET method tends to decrease while going from PET, AET and runoff to discharge calculations. However, the performance of individual PET methods appears to be spatially variable, which stresses the necessity to select the most accurate and spatially stable PET method. The lowest root mean squared differences and the least significant deviations (95% significance level) between monthly CFSR derived PET time series and CRU derived PET were obtained for a cell-specific re-calibrated Blaney-Criddle equation. However, results show that this re-calibrated form is likely to be unstable under changing climate conditions and less reliable for the calculation of daily time series. Although often recommended, the Penman-Monteith equation applied to the CFSR data did not outperform the other methods in a evaluation against PET derived with the Penman-Monteith equation from CRU data. In arid regions (e.g. Sahara, central Australia, US deserts), the equation resulted in relatively low PET values and, consequently, led to relatively high discharge values for dry basins (e.g. Orange, Murray and Zambezi). Furthermore, the Penman-Monteith equation has a high data demand and the equation is sensitive to input data inaccuracy. Therefore, we recommend the re-calibrated form of the Hargreaves equation which globally gave reference PET values comparable to CRU derived values for multiple climate conditions. The resulting gridded daily PET time series provide a new reference dataset that can be used for future hydrological impact assessments in further research, or more specifically, for the statistical downscaling of daily PET derived from raw GCM data. The dataset can be downloaded from http://opendap.deltares.nl/thredds/dodsC/opendap/deltares/FEWS-IPCC.

Homogenization of daily time series climatological data in the Eastern Nile basin, Ethiopia

2020 ◽  
Vol 143 (1-2) ◽  
pp. 737-760
Author(s):  
Sadame M. Yimer ◽  
Navneet Kumar ◽  
Abderrazak Bouanani ◽  
Bernhard Tischbein ◽  
Christian Borgemeister
Keyword(s):  
Time Series ◽  
Nile Basin ◽  
Climatological Data ◽  
Daily Time Series ◽  
Daily Time

An Efficient Pruning and Filtering Strategy to Mine Partial Periodic Patterns from a Sequence of Event Sets

2014 ◽  
Vol 10 (2) ◽  
pp. 18-38 ◽  
Author(s):  
Kung-Jiuan Yang ◽  
Tzung-Pei Hong ◽  
Yuh-Min Chen ◽  
Guo-Cheng Lan
Keyword(s):  
Time Series ◽  
Real World ◽  
Oil Price ◽  
Time Stamp ◽  
Single Event ◽  
Periodic Patterns ◽  
Event Time ◽  
The Past ◽  
Real World Applications ◽  
Speed Up

Partial periodic patterns are commonly seen in real-world applications. The major problem of mining partial periodic patterns is the efficiency problem due to a huge set of partial periodic candidates. Although some efficient algorithms have been developed to tackle the problem, the performance of the algorithms significantly drops when the mining parameters are set low. In the past, the authors have adopted the projection-based approach to discover the partial periodic patterns from single-event time series. In this paper, the authors extend it to mine partial periodic patterns from a sequence of event sets which multiple events concurrently occur at the same time stamp. Besides, an efficient pruning and filtering strategy is also proposed to speed up the mining process. Finally, the experimental results on a synthetic dataset and real oil price dataset show the good performance of the proposed approach.

scholarly journals CO and CO2 daily time series and time series of wind speed

Data in Brief ◽  
2019 ◽  
Vol 24 ◽  
pp. 103976
Author(s):  
Changgong Shan ◽  
Wei Wang
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Daily Time Series ◽  
Daily Time

scholarly journals Correlated daily time series and forecasting in the M4 competition

2020 ◽  
Vol 36 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Anti Ingel ◽  
Novin Shahroudi ◽  
Markus Kängsepp ◽  
Andre Tättar ◽  
Viacheslav Komisarenko ◽  
...  
Keyword(s):  
Time Series ◽  
Daily Time Series ◽  
Daily Time
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