Climatic control on river discharge simulations, Mittivakkat Glacier catchment, Ammassalik Island, SE Greenland*

2006 ◽  
Vol 37 (4-5) ◽  
pp. 327-346 ◽  
Author(s):  
S.H. Mernild ◽  
B. Hasholt

A lumped conceptual Rainfall–Runoff Model (the NAM model) was applied to quantify simulated intra- and inter-annual discharge from the Mittivakkat glacier catchment (18.4 km2, 78% glacier cover), Ammassalik Island, SE Greenland. Discharge simulations were performed for three periods: 1999–2004 (calibration period), 1993–1995 and 1998/1999 (validation period), and 2071–2100 (scenario period). In periods when observed winter discharges were lacking, visual observations from daily photographic time lapse were used for calibration. The timing and magnitude of simulated discharge were in general in good accordance with observed discharge (R2=0.77). However, discrepancies between simulated and observed discharge occur (maximum daily difference up to 3.4 m3 s−1, up to 11% difference between observed and simulated cumulative discharge, and model predicted river break-up 1–3 d before it actually occurs). For the period 2071–2100 future IPCC A2 and IPCC B2 climate scenarios were used as input for NAM based on HIRHAM RCM and HadCM3 AOGCM model simulations. The IPCC scenarios indicated mean maximum monthly runoff higher than 900 mm w.eq., and mean annual runoff around 3200 mm w.eq. yr−1, approximately one and a half times higher than the runoff in 1993–2004 of approximately 2000 mm w.eq. yr−1. The increasing runoff indicated an approximately three times higher negative glacier net mass balance ranging from about −750 mm w.eq. yr−1 (1961–1990) to approximately −2000 mm w.eq. yr−1 (2071–2100).

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1226
Author(s):  
Pakorn Ditthakit ◽  
Sirimon Pinthong ◽  
Nureehan Salaeh ◽  
Fadilah Binnui ◽  
Laksanara Khwanchum ◽  
...  

Accurate monthly runoff estimation is crucial in water resources management, planning, and development, preventing and reducing water-related problems, such as flooding and droughts. This article evaluates the monthly hydrological rainfall-runoff model’s performance, the GR2M model, in Thailand’s southern basins. The GR2M model requires only two parameters: production store (X1) and groundwater exchange rate (X2). Moreover, no prior research has been reported on its application in this region. The 37 runoff stations, which are located in three sub-watersheds of Thailand’s southern region, namely; Thale Sap Songkhla, Peninsular-East Coast, and Peninsular-West Coast, were selected as study cases. The available monthly hydrological data of runoff, rainfall, air temperature from the Royal Irrigation Department (RID) and the Thai Meteorological Department (TMD) were collected and analyzed. The Thornthwaite method was utilized for the determination of evapotranspiration. The model’s performance was conducted using three statistical indices: Nash–Sutcliffe Efficiency (NSE), Correlation Coefficient (r), and Overall Index (OI). The model’s calibration results for 37 runoff stations gave the average NSE, r, and OI of 0.657, 0.825, and 0.757, respectively. Moreover, the NSE, r, and OI values for the model’s verification were 0.472, 0.750, and 0.639, respectively. Hence, the GR2M model was qualified and reliable to apply for determining monthly runoff variation in this region. The spatial distribution of production store (X1) and groundwater exchange rate (X2) values was conducted using the IDW method. It was susceptible to the X1, and X2 values of approximately more than 0.90, gave the higher model’s performance.


Author(s):  
Pakorn Ditthakit ◽  
Sirimon Pinthong ◽  
Nureehan Salaeh ◽  
Fadilah Binnui ◽  
Laksanara Khwanchum

Accurate monthly runoff estimation is fundamental in water resources management, planning, and development, resulting in preventing and reducing water-related problems, such as flooding and drought. This article evaluates the performance of the monthly hydrological rainfall-runoff model, GR2M model, in Thailand's southern basins. The GR2M model requires only two parameters, and no prior research has been reported on its application in this region. The 37 runoff stations, which are distributively located in three sub-watersheds of Thailand's southern region, namely; Thale Sap Songkhla, Peninsular-East Coast, and Peninsular-West Coast, were selected as study cases. The available monthly hydrological data of runoff, rainfall, air temperature from the Royal Irrigation Department (RID) and the Thai Meteorological Department (TMD) were collected and analyzed. Thornthwaite method was utilized for the determination of evapotranspiration. The model's performance was conducted using three statistical indices: Nash-Sutcliffe Efficiency (NSE), Correlation Coefficient (r), and Overall Index (OPI). The model's calibration results for 37 runoff stations gave the average of NSE, r, and OPI of 0.637, 0.825, and 0.757, and those values for verification of 0.465, 0.750, and 0.639, respectively. It indicated a model's acceptable performance and could apply the GR2M model for determining monthly runoff variation in this region. The spatial distribution of X1 and X2 values was conducted by using IDW method. It was susceptible to the X1 value and X2 value of approximately more than 0.90 gave the higher model's performance.


2021 ◽  
Author(s):  
Jamie Lee Stevenson ◽  
Christian Birkel ◽  
Aaron J. Neill ◽  
Doerthe Tetzlaff ◽  
Chris Soulsby

2012 ◽  
Vol 26 (26) ◽  
pp. 3953-3961 ◽  
Author(s):  
Jiangmei Luo ◽  
Enli Wang ◽  
Shuanghe Shen ◽  
Hongxing Zheng ◽  
Yongqiang Zhang

1982 ◽  
Vol 108 (7) ◽  
pp. 813-822
Author(s):  
Otto J. Helweg ◽  
Jaime Amorocho ◽  
Ralph H. Finch

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