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Data Platform

Indicator name: SYCn

Code: HYD14a
Category: Hazard (UNISDR)
Type: Single
Pilot Study: 3
Reference: New formulated indicator based on Thomas & Burden (1963). See OrientGate report on the Pilot "Climate change adaptation in the new water regime in Puglia region, Italy"

Description

Indicator based on the area under the Storage Yield Curve (natural), representing the storage capacity needed to provide a given basin yield or, alternatively, the firm basin yield produced from a given level of water storage. Only based on natural inflow and calculated both on absolute and standardized (i.e. over Mean Annual Runoff) yield and storage.

Connected Datasets

SYC_30y_300000_19762005_BASE


Group Name: SYC_30y_300000_19762070
Type: vector-shapefile
Framework: hazard_UN-DRR
Institute: CMCC
Scenario: BASE
Time Frequency: 30y
Spatial Resolution: 1:300000
Temporal Subset: 1976-2005
Reference: Thomas & Burden, 1963; Santini et al. 2013

Description

"This dataset represents the standardized (over Mean Annual Runoff) Area Under (AU) the Storage Yield Curve (SYC; building on the Sequent Peak Algorithm in Thomas & Burden, 1963) calculated for six significant hydrographic basins in Puglia (IT), namely Fortore, Candelaro, Cervaro, Carapelle, Ofanto, Bradano. This indicator hypothetically denotes the storage capacity needed to provide a given basin yield or, alternatively, the firm basin yield produced from a given level of water storage.Monthly data along a 30-year time frame from 1976 to 2005 (being the baseline of Pilot 3) were derived from hydrological modelling of natural streamflow (""n""; i.e. without considering human water withdrawal) by ArcSWAT model driven by regional climate simulations with COSMO-CLM, as performed in the OrientGate project. The dataset contains information on the basin name (NOME), surface in square kilometres (area_km2) and the standardized natural SYC (AU_SYCn)."

Click here to download the dataset via FTP (the access is secured through login and password).

If you don't have an account, please fill out the registration form available here.

GEO NETWORK URL
GEO SEVER URL


SYC_30y_300000_20212050_RCP45


Group Name: SYC_30y_300000_19762070
Type: vector-shapefile
Framework: hazard_UN-DRR
Institute: CMCC
Scenario: RCP45
Time Frequency: 30y
Spatial Resolution: 1:300000
Temporal Subset: 2021-2050
Reference: Thomas & Burden, 1963; Santini et al. 2013

Description

"This dataset represents the standardized (over Mean Annual Runoff) Area Under (AU) the Storage Yield Curve (SYC; building on the Sequent Peak Algorithm in Thomas & Burden, 1963) calculated for six significant hydrographic basins in Puglia (IT), namely Fortore, Candelaro, Cervaro, Carapelle, Ofanto, Bradano. This indicator hypothetically denotes the storage capacity needed to provide a given basin yield or, alternatively, the firm basin yield produced from a given level of water storage.Monthly data along a 30-year time frame from 2021 to 2050 (being the medium term period of Pilot 3), and under RCP4.5 IPCC-AR5 emission scenario, were derived from hydrological modelling of natural streamflow (""n""; i.e. without considering human water withdrawal) by ArcSWAT model driven by regional climate simulations with COSMO-CLM, as performed in the OrientGate project. The dataset contains information on the basin name (NOME), surface in square kilometres (area_km2) and the standardized natural SYC (AU_SYCn)."

Click here to download the dataset via FTP (the access is secured through login and password).

If you don't have an account, please fill out the registration form available here.

GEO NETWORK URL
GEO SEVER URL


SYC_30y_300000_20412070_RCP45


Group Name: SYC_30y_300000_19762070
Type: vector-shapefile
Framework: hazard_UN-DRR
Institute: CMCC
Scenario: RCP45
Time Frequency: 30y
Spatial Resolution: 1:300000
Temporal Subset: 2041-2070
Reference: Thomas & Burden, 1963; Santini et al. 2013

Description

"This dataset represents the standardized (over Mean Annual Runoff) Area Under (AU) the Storage Yield Curve (SYC; building on the Sequent Peak Algorithm in Thomas & Burden, 1963) calculated for six significant hydrographic basins in Puglia (IT), namely Fortore, Candelaro, Cervaro, Carapelle, Ofanto, Bradano. This indicator hypothetically denotes the storage capacity needed to provide a given basin yield or, alternatively, the firm basin yield produced from a given level of water storage.Monthly data along a 30-year time frame from 2041 to 2070 (being the long term period of Pilot 3), and under RCP4.5 IPCC-AR5 emission scenario, were derived from hydrological modelling of natural streamflow (""n""; i.e. without considering human water withdrawal) by ArcSWAT model driven by regional climate simulations with COSMO-CLM, as performed in the OrientGate project. The dataset contains information on the basin name (NOME), surface in square kilometres (area_km2) and the standardized natural SYC (AU_SYCn)."

Click here to download the dataset via FTP (the access is secured through login and password).

If you don't have an account, please fill out the registration form available here.

GEO NETWORK URL
GEO SEVER URL


SYC_30y_300000_20212050_RCP85


Group Name: SYC_30y_300000_19762070
Type: vector-shapefile
Framework: hazard_UN-DRR
Institute: CMCC
Scenario: RCP85
Time Frequency: 30y
Spatial Resolution: 1:300000
Temporal Subset: 2021-2050
Reference: Thomas & Burden, 1963; Santini et al. 2013

Description

"This dataset represents the standardized (over Mean Annual Runoff) Area Under (AU) the Storage Yield Curve (SYC; building on the Sequent Peak Algorithm in Thomas & Burden, 1963) calculated for six significant hydrographic basins in Puglia (IT), namely Fortore, Candelaro, Cervaro, Carapelle, Ofanto, Bradano. This indicator hypothetically denotes the storage capacity needed to provide a given basin yield or, alternatively, the firm basin yield produced from a given level of water storage.Monthly data along a 30-year time frame from 2021 to 2050 (being the medium term period of Pilot 3), and under RCP8.5 IPCC-AR5 emission scenario, were derived from hydrological modelling of natural streamflow (""n""; i.e. without considering human water withdrawal) by ArcSWAT model driven by regional climate simulations with COSMO-CLM, as performed in the OrientGate project. The dataset contains information on the basin name (NOME), surface in square kilometres (area_km2) and the standardized natural SYC (AU_SYCn)."

Click here to download the dataset via FTP (the access is secured through login and password).

If you don't have an account, please fill out the registration form available here.

GEO NETWORK URL
GEO SEVER URL


SYC_30y_300000_20412070_RCP85


Group Name: SYC_30y_300000_19762070
Type: vector-shapefile
Framework: hazard_UN-DRR
Institute: CMCC
Scenario: RCP85
Time Frequency: 30y
Spatial Resolution: 1:300000
Temporal Subset: 2041-2070
Reference: Thomas & Burden, 1963; Santini et al. 2013

Description

"This dataset represents the standardized (over Mean Annual Runoff) Area Under (AU) the Storage Yield Curve (SYC; building on the Sequent Peak Algorithm in Thomas & Burden, 1963) calculated for six significant hydrographic basins in Puglia (IT), namely Fortore, Candelaro, Cervaro, Carapelle, Ofanto, Bradano. This indicator hypothetically denotes the storage capacity needed to provide a given basin yield or, alternatively, the firm basin yield produced from a given level of water storage.Monthly data along a 30-year time frame from 2041 to 2070 (being the long term period of Pilot 3), and under RCP8.5 IPCC-AR5 emission scenario, were derived from hydrological modelling of natural streamflow (""n""; i.e. without considering human water withdrawal) by ArcSWAT model driven by regional climate simulations with COSMO-CLM, as performed in the OrientGate project. The dataset contains information on the basin name (NOME), surface in square kilometres (area_km2) and the standardized natural SYC (AU_SYCn)."

Click here to download the dataset via FTP (the access is secured through login and password).

If you don't have an account, please fill out the registration form available here.

GEO NETWORK URL
GEO SEVER URL