1. Home
  2. Datasets
  3. Pasture - annual potential ...

Pasture - annual potential evapotranspiration deficit under pasture (to mid and end of century)

Description

Annual potential evapotranspiration deficit (PED) is the sum of daily PED under pasture over a year (starting July).
The six-model ensemble mean of annual-mean climatologies are provided for the historical baseline (1986-2005), annual PED mid-century (2031-2050) and end of century (2081-2100) for four Representive Concentration Pathways (RCP) of future anthropogenic emissions.
The change in annual PED is the ensemble mean of the difference between the 20-year mean annual PED mid-century (2031-2050) or the end of the century (2081-2100), and the 20 years mean annual PED of the historical baseline (1986-2005) of the six models.
The soil data used in the water balance model is derived from S-map and the fundamental soil layers.

 

Date: June 2022 Version: v1

Owner: NIWA and Manaaki Whenua - Landcare Research

Contact: Dr Abha Sood, NIWA

 

Link to report / paper

  1. Mullan A., Sood A, Stuart S 2016. Climate Change Projections for New Zealand
  2. Sood, A., Mullan, B. (2020). Projected changes in New Zealand drought risk: an updated assessment using multiple drought indicators. NIWA Client Report 202001WN1
  3. Sood A, Lilburne L, Carrick S, Yang Y, Srinivasan R, Pollacco J, Porteous A 2021. Projected changes in New Zealand Drought Risk. NIWA Client Report 2021WN1.

 

Preview Image

 

Dataset attributes

Spatial extent New Zealand
Spatial resolution 0.05 deg x 0.05 deg
Temporal extent
Temporal resolution Annual and seasonal climatologies
Evaluation method (Validation) The soil moisture and PED are computed using spatially distributed hydrology parameters derived from S-map (MWLR) dataset and VCSN climate observations (NIWA) on the same grid nationally for validation against selected in-situ measurements.
Evaluation result (Numeric) Only prelimary evaluation using RMSE and correlation were completed for selected sites [3].
Evaluation result (Categorical)
Uncertainty method This dataset consists of six-model ensemble mean annual and seasonal climatologies. Further analysis to assess the uncertainty is not yet attempted.
Uncertainty data format (Numeric) None
Uncertainty data format (Categorical) None

 

Methodology

The procedure to derive the potential evapotranspiration deficit (PED) using NIWA's soil water balance model is described in more detail in earlier reports [1,2].
The soil moisture and PED are computed using spatially distributed hydrology parameters derived from S-map (MWLR) dataset and VCSN climate observations (NIWA) on the same grid nationally for validation against observations [3].

 

Fitness for purpose / limitations

This table indicates whether the dataset is suitable for different types of questions at different scales.

Note: Users should carefully consider their purpose as this dataset may not be suitable.

Operational Absolute Relative Screening/scoping
Block/farm No No No Maybe
Multi-farms(5+) Maybe Maybe Maybe Yes
Catchment Yes Yes Yes Yes
National/regional Yes Yes Yes Yes
Caveat(s) The climate and soil information is too coarse for use at finer scales.

 

Data and Resources