SUPPLEMENTARY MATERIALS
=======================

Spatial patterns of CMIP6-projected climate change across
Andean-Amazonian ecoregions of northeastern Peru


CONTENTS
========

This supplementary package contains the supporting tables, figure,
and R scripts associated with the manuscript.

The main supplementary document is:

Supplementary_Material.pdf

It contains Supplementary Tables S1-S8 and Supplementary Figure S1.


DIRECTORY STRUCTURE
===================

01_Data_Sources
---------------
Table S1. Data sources and preprocessing used in the study.


02_Historical_Evaluation
------------------------
Table S2. Historical evaluation of the five NEX-GDDP-CMIP6 models
and their arithmetic multi-model ensemble against CHELSA v2.1.

Figure S1. Historical climate bias between NEX-GDDP-CMIP6 and
CHELSA v2.1.


03_Ensemble_Sensitivity
-----------------------
Table S3. Comparison of arithmetic mean and median multi-model
ensembles.

Table S4. Leave-one-model-out sensitivity analysis for precipitation.


04_Ecoregional_Analysis
-----------------------
Table S5. Ecoregional absolute climate statistics.

Table S6. Ecoregional projected climate changes.

Table S7. Ecoregional climate hotspot analysis.


05_Model_Agreement
------------------
Table S8. Inter-model spread and directional agreement.


06_Scripts
----------
R scripts used to generate Supplementary Tables S1-S8 and
Supplementary Figure S1.


CLIMATE VARIABLES
=================

tas  : near-surface air temperature
pr   : precipitation
rsds : surface downwelling shortwave radiation


CLIMATE MODELS
==============

CESM2
IPSL-CM6A-LR
MIROC6
MPI-ESM1-2-HR
MRI-ESM2-0


PERIODS AND SCENARIOS
=====================

Historical reference period:
1985-2014

Future periods:
2031-2060
2071-2100

Scenarios:
SSP2-4.5
SSP5-8.5


DATA AVAILABILITY
=================

Large original NetCDF climate files are not included in this
supplementary package. The climate projections were obtained from
the publicly available NEX-GDDP-CMIP6 dataset.

The supplementary files provide the derived results and R scripts
used to generate the supporting analyses presented with the article.
