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Correction

Correction: Koutsouris et al. Utilization of Global Precipitation Datasets in Data Limited Regions: A Case Study of Kilombero Valley, Tanzania. Atmosphere, 2017, 8, 246

by
Alexander J. Koutsouris
1,*,
Jan Seibert
2 and
Steve W. Lyon
1,3
1
Department of Physical Geography, Stockholm University, 10691 Stockholm, Sweden
2
Department of Geography, Hydrology and Climate, University of Zurich, 8006 Zurich, Switzerland
3
The Nature Conservancy, Delmont, NJ 08314, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2018, 9(4), 148; https://doi.org/10.3390/atmos9040148
Submission received: 3 April 2018 / Revised: 3 April 2018 / Accepted: 3 April 2018 / Published: 16 April 2018
(This article belongs to the Special Issue Precipitation Variability and Change in Africa)
The authors would like to correct the published article [1], following the detection of editorial mistakes by the main author, as explained below. Table 3 has been replaced with a new Table to show the streamflow simulation results for Mpanga Catchment. A missing table has been inserted as Table 5, showing the streamflow simulation results for Kiburubutu Catchment. The table previously labeled and referenced as Table 5 should now be considered as Table 6. All sentences that were referenced to Table 5 refer to the new Table 5, except for the sentence “Simulations based on QM bias corrected GPD products performances were in general worse compared to their non-bias corrected counterparts (Table 5)”, which refers to Table 6. Table 3, Table 5, and Table 6 should read:
The authors apologize for any inconvenience this has caused to the readers. The changes do not affect the scientific results of this paper. The manuscript will be updated, and the original version will remain online on the article webpage, with a reference to this Correction.

Reference

  1. Koutsouris, A.J.; Seibert, J.; Lyon, S.W. Utilization of Global Precipitation Datasets in Data Limited Regions: A Case Study of Kilombero Valley, Tanzania. Atmosphere. 2017, 8, 246. [Google Scholar] [CrossRef]
Table 3. Performance scores for MC discharge simulations. Performance is shown as Reff,log, R2, Ve, and RMSE values for each bias correction technique considered.
Table 3. Performance scores for MC discharge simulations. Performance is shown as Reff,log, R2, Ve, and RMSE values for each bias correction technique considered.
Mpanga Catchment
GDP Reff,logR2VeRMSE Reff,logR2VeRMSE
CFSRNon-bias corrected0.330.230.960.28ModBbias corrected0.430.401.000.26
ERAi0.530.480.960.230.530.500.960.23
MERRA0.380.440.940.290.610.580.990.22
CMORPH0.410.320.950.270.410.330.950.27
TRMMv70.450.361.000.270.510.420.990.24
Ensemble0.550.490.970.230.560.530.990.23
Rain gauge0.120.140.940.360.470.340.970.25
CRU *0.270.170.980.300.300.200.960.29
GPCC *0.290.230.990.300.320.240.970.29
UDEL *0.350.250.990.280.450.370.990.25
CFSRQMbias corrected0.220.180.960.33QM + ModBbias corrected0.530.400.980.23
ERAi0.180.160.910.350.540.410.980.23
MERRA0.050.081.000.330.520.450.980.23
CMORPH0.350.221.000.280.510.400.980.23
TRMMv70.190.150.910.350.510.420.980.24
Ensemble0.190.160.910.350.500.360.980.24
GPCC *DPbias corrected0.340.190.990.29DP + ModBbias corrected0.370.230.970.28
CRU *0.360.240.970.280.380.270.950.28
UDEL *0.460.320.960.270.520.441.000.24
* Monthly products.
Table 5. Performance scores for KC discharge simulations. Performance is shown as Reff,log, R2, Volume Error (Vol. Err.), and RMSE values for each bias correction technique considered.
Table 5. Performance scores for KC discharge simulations. Performance is shown as Reff,log, R2, Volume Error (Vol. Err.), and RMSE values for each bias correction technique considered.
Kiburubutu Catchment
GDP Reff,logR2Vol. Err.RMSE Reff,logR2Vol. Err.RMSE
CFSRNon-bias corrected0.380.010.780.26ModBbias corrected0.410.010.740.25
ERAi0.630.260.780.180.660.240.730.18
MERRA0.470.250.860.200.680.240.720.18
CMORPH0.560.080.790.230.620.100.680.20
TRMMv70.550.070.870.230.590.110.700.20
Ensemble0.630.190.800.190.670.220.730.19
Rain gauge0.520.250.960.230.590.210.780.20
CRU *0.420.090.970.290.570.120.700.21
GPCC *0.380.140.790.240.590.140.690.21
UDEL *0.470.120.860.230.640.160.710.19
CFSRQMbias corrected0.410.070.920.27QM + ModBbias corrected0.530.120.710.20
ERAi0.490.140.910.270.590.200.790.20
MERRA0.400.070.960.290.530.120.750.21
CMORPH0.440.050.920.270.510.080.740.22
TRMMv70.450.040.980.290.520.040.770.23
Ensemble0.480.070.910.290.560.060.830.23
GPCC *DPbias corrected0.510.200.960.24DP + ModBbias corrected0.590.120.820.22
CRU *0.510.130.990.260.570.180.830.21
UDEL *0.560.240.990.230.630.230.820.19
* Monthly products.
Table 6. Performance scores for KC discharge simulations. Performance is shown as Reff,log values for each bias correction technique considered.
Table 6. Performance scores for KC discharge simulations. Performance is shown as Reff,log values for each bias correction technique considered.
Atmosphere 09 00148 i001

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MDPI and ACS Style

Koutsouris, A.J.; Seibert, J.; Lyon, S.W. Correction: Koutsouris et al. Utilization of Global Precipitation Datasets in Data Limited Regions: A Case Study of Kilombero Valley, Tanzania. Atmosphere, 2017, 8, 246. Atmosphere 2018, 9, 148. https://doi.org/10.3390/atmos9040148

AMA Style

Koutsouris AJ, Seibert J, Lyon SW. Correction: Koutsouris et al. Utilization of Global Precipitation Datasets in Data Limited Regions: A Case Study of Kilombero Valley, Tanzania. Atmosphere, 2017, 8, 246. Atmosphere. 2018; 9(4):148. https://doi.org/10.3390/atmos9040148

Chicago/Turabian Style

Koutsouris, Alexander J., Jan Seibert, and Steve W. Lyon. 2018. "Correction: Koutsouris et al. Utilization of Global Precipitation Datasets in Data Limited Regions: A Case Study of Kilombero Valley, Tanzania. Atmosphere, 2017, 8, 246" Atmosphere 9, no. 4: 148. https://doi.org/10.3390/atmos9040148

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