FAO PNG climate risk decision support
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PNG El Niño ASIS/GIEWS Live Drought Dashboard

Live vegetation-health and agricultural drought screening dashboard using FAO ASIS/GIEWS information for Papua New Guinea.

FAO ASIS/GIEWS overviewLatest screening periodProvincial outlookAgricultural early warning
Official NWS/FAO methodology

About the Combined Drought Index (CDI)

The Combined Drought Index (CDI) is being developed jointly by Papua New Guinea's National Weather Service (NWS) and FAO to assess drought severity and trigger anticipatory action, complementing NWS's existing Drought Early Warning System. It is based on published research (Isaev E, Yuave N, Inape K, Jones C, Dawa L & Sidle RC, 2024, Agricultural Drought-Triggering for Anticipatory Action in Papua New Guinea, Water 16, 2009) and computed at province level, monthly, from free/open, programmatically-accessible data sources with a historical archive back to 1996.

IndicatorSourceFlag ruleWeight
ENSO (Relative Niño3.4)NOAA0.5 if alert, 1 if declared20%
Indian Ocean Dipole (DMI)NOAA0.5 if alert, 1 if declared10%
Present rainfall (SPI-1)CHIRPS, Climate Hazards Center (UCSB)0.5 if -0.5≤SPI<0, 1 if SPI<-0.520%
Present soil moistureERA5-Land, ECMWF0.5 if 10-15% below normal, 1 if >15%20%
Present vegetation healthFAO ASIS0.5 if VHI<0.4, 1 if VHI<0.310%
Forecast rainfall (SPI-3)ECMWF SEAS50.5 if -1≤SPI<0, 1 if SPI<-120%

Combination: these six flags are combined into a weighted sum ranging from 0 to 1. CDI > 0.6 indicates the emergence of drought.

Example: PNG, July 2026 (interactive — click a province)

July's CDI is based on June observations plus a 3-month (July-September) rainfall forecast. Click any province for its CDI, indicator flags, and underlying values. Source: NWS/FAO CDI presentation and data (real per-province results, not illustrative).

Recent CDI components (interactive)

Historical CDI time series (1996-present, interactive)

The historical CDI record for any province can be used to inform and calibrate anticipatory-action thresholds. Dashed line marks the 0.6 drought threshold.

Executive interpretation

Interpretation note: This dashboard combines two live components: FAO ASIS/GIEWS vegetation-health screening and the PNG live processing workspace for drought and frost review. It supports early warning, prioritisation and field verification planning, but does not replace official declarations by mandated national authorities or detailed field assessment by DAL, NARI, NDC, provincial or district teams.

The national overview, graphs, tables, map and operational interpretation are designed to reflect the latest available ASIS/GIEWS screening period where that update is available, while the overview also reports the current PNG live processing workspace date and drought/frost analysis windows.

Loading live ASIS/GIEWS screening update...
Latest ASIS period--waiting for update
National vegetation index--province mean average
High / moderate stress--provinces
Watch / lower stress--provinces

Province screening details

Overview focus

This dashboard provides a province-level screening view of vegetation condition, drought monitoring and field verification priorities.

It combines live ASIS/GIEWS screening information with the separate PNG live processing workspace for drought and frost review.

Population exposure estimates should be interpreted alongside dedicated overlay analysis, field observations and sector-specific assessment.

PNG live processing workspace

Drought and frost processing status

Source: This summary provides the latest drought and frost screening windows from the live processing workspace and complements the full interactive workspace. It is intended to give users a quick public-facing overview.

Analysis datePending
Drought windowPending
Frost windowPending

The latest drought and frost screening overview will appear here when available.

Climate driver context

ENSO / IOD outlook

About this card: El Nino-Southern Oscillation (ENSO, measured by the ONI index) and the Indian Ocean Dipole (IOD, measured by the DMI index) are national-scale climate indices, not province-level measurements. They provide background context for the composite biophysical stress score and are not blended into it pixel-by-pixel.

ENSO state (ONI)Pending
IOD state (DMI)Pending
Composite weightingPending

Climate driver context will appear here when available.

Highest vegetation stress provinces

Stress class distribution

Interactive risk map

About this map: The main operational layer is the composite biophysical stress surface, combining ASIS vegetation stress, rainfall deficit and frost screening. Live ASIS vegetation screening remains available as a secondary reference layer.
Map controls: Use the layer control in the top-right corner to switch basemaps and turn composite stress, live ASIS screening, provincial polygons and province point summaries on or off. By default, the map prioritises composite stress with province summaries.
Source: composite biophysical stress, live ASIS/GIEWS screening, and PNG provincial boundaries.

Download the underlying data

The map above is a live Earth Engine tile layer, not a downloadable file by itself. These are exported alongside it on the same daily schedule:

The GeoTIFF is single-band (composite score 0-100, EPSG:4326, ~5km/pixel -- a national-overview resolution, not survey-grade) and updates on the same daily schedule as the map and the other data files above.

Live ASIS/GIEWS drought and vegetation stress

Source and method: This section summarises the latest available FAO vegetation-health screening update for Papua New Guinea. Non-analytical classes are excluded before province summaries are calculated.

Province ranking by vegetation condition

Vegetation condition guide

< 0.35: high vegetation stress.

0.35-0.50: moderate vegetation stress.

0.50-0.65: watch / below-normal vegetation condition.

> 0.65: lower current vegetation stress.

These values help compare current vegetation condition between provinces and identify where field verification should be prioritised.

Live ASIS provincial table

RankProvinceVegetation indexStress classRecommended verification priorityPlain-language meaning

Integrated priority assessment

About this section: This view combines live vegetation condition, rainfall deficit, frost screening, cropland relevance, and population exposure into a single integrated priority framework for Papua New Guinea.

How to read the integrated priority indicators

Interpretation guide: These indicators are screening and prioritisation metrics. They help compare provinces and identify where closer technical review or field verification may be needed. They are not final impact declarations.

IndicatorWhat it meansHow to interpret it
Composite stressA combined environmental stress score that brings together the main hazard signals used in the dashboard, including vegetation stress, rainfall deficit, and frost screening.Use this as the main overall measure of current biophysical stress. Higher values mean stronger combined stress conditions.
Agricultural priorityA prioritisation score that reflects how relevant the combined stress pattern is for agricultural concern and follow-up.Use this to understand where agricultural systems may need closer monitoring. It is a prioritisation metric, not a direct crop-loss estimate.
Exposure priorityA hotspot-style prioritisation score that combines stress conditions with exposure considerations to support targeting.Use this for relative prioritisation between provinces. It helps identify where stress and exposure are combining into higher concern.
Priority classThe categorical label assigned from the integrated priority logic, such as Low, Watch, Moderate, High, or Severe.Use this as the quick-read summary for comparison across provinces.
Population exposedThe estimated number of people located inside the mapped stress zones used by the integrated workflow.Use this as a screening estimate of potential exposure. It is not an official affected-population total and should be validated with field and sector information.
Population exposed--people inside composite stress zones

Integrated priority provincial table

ProvinceComposite stressAgricultural priorityExposure priorityPriority classPopulation exposed

Population exposure summary

About this section: This tab reports people located inside composite biophysical stress zones. The exposure counts are derived from the composite stress surface and gridded population data, then summarised by province for public-facing interpretation.

Population exposed--people in composite stress zones
High exposure population--people in higher composite stress zones
Affected provinces--provinces with exposed population
Watch population--people in watch-level stress zones

Population exposure table

ProvinceComposite stressStress classPopulation exposedHigh exposure populationASIS meanRainfall % normalSoil moisture % normalFrost mean °C

Operational response framework

Field verification approach: Verification should be coordinated through DAL, NARI, NDC, provincial disaster offices, district agriculture officers and relevant partner teams. Verification can use geotagged photos, GPS points, crop condition forms, water-source checks, community/key informant interviews and approved data-collection platforms such as KoboToolbox, ODK, Survey123 or other government/partner systems.

ASIS stress groupInterpretationRecommended action
HighCurrent vegetation condition indicates strong stress relative to normal and should be treated as the highest verification priority.Immediate district/province verification, crop and water checks, food-security screening, rapid advisory messaging and escalation where field evidence confirms impacts.
ModerateVegetation condition is below normal and should be monitored closely for further deterioration.Rapid crop and rainfall review, repeat checks, local advisory support and targeted verification if market, water or crop concerns are already emerging.
WatchConditions are below normal but not yet in the highest concern class.Routine monitoring, district updates and trigger-based follow-up where reports worsen or additional indicators also show stress.
LowerLower current vegetation stress in the latest dekad.Routine monitoring, maintain surveillance and verify localised reports if communities flag issues not visible at province scale.

Field verification checklist

CheckWhat to collectWho can verify
Crop conditionPhotos, GPS points, crop type, damage level, garden age and whether damage is drought-related or from another cause.DAL/NARI officers, district agriculture officers, provincial teams and partner field teams.
Water availabilityWater-source status, distance to water, quality concerns, low-flow or drying sources.Provincial disaster offices, district teams, WASH partners and community focal points.
Food accessMeal changes, wild foods, market prices, shortages and coping mechanisms.Provincial/district teams, partners and community key informants.
Hazard attributionSeparate drought stress from frost, pests, fire, flood or market shocks where possible.Multi-sector assessment teams and technical specialists.
Separate processing app

Live Processing Workspace

Purpose of this tab: This section links to the separate Streamlit-based processing workspace used for live review, processing and export of climate-risk layers. It is separate from the main public briefing dashboard.

Embedded source: png-climate-workspace-v1.streamlit.app. If the embedded view does not load, use the button above to open the processing app directly.

PNG National Weather Service

PNGNWS Outlook

Official national reference: This tab links to public outlook and satellite products published by the PNG National Weather Service. These products complement the dashboard screening outputs and provide an official national forecast context for interpretation and briefing.

Official links open in a new tab. Preview images below are synced automatically into this dashboard on a schedule.

Forecast and imagery previews

Preview note: The previews below are mirrored automatically into this dashboard from public PNGNWS products. They refresh on a schedule so the tab remains stable without manual uploads.

3-Month Rainfall Outlook (PNG domain)

PNGNWS 3-month rainfall outlook PNG domain

Seasonal rainfall outlook over the PNG domain.

3-Month Rainfall Outlook (Global)

PNGNWS 3-month rainfall outlook global domain

Global seasonal rainfall outlook published by PNGNWS.

31-Day Rainfall Preview (PNG domain)

PNGNWS 31-day rainfall forecast PNG domain

PNG-domain daily rainfall forecast preview from the 31-day outlook.

31-Day Temperature Preview (PNG domain)

PNGNWS 31-day temperature forecast PNG domain

PNG-domain near-surface temperature forecast preview.

Himawari Satellite Preview

PNGNWS Himawari IR1S satellite preview

Quick-look infrared satellite frame from the PNGNWS Himawari page.

GSMaP Daily Rainfall Preview

PNGNWS GSMaP daily rainfall preview

Daily precipitation preview image available from the PNGNWS product stack.

How to use this tab

Use the seasonal and monthly forecast links to compare official national outlook products with the live ASIS/GIEWS vegetation screening, composite stress patterns, and exposure summaries shown elsewhere in the dashboard.

The satellite link can support rapid visual review of current cloud patterns and synoptic conditions, while Public Weather provides day-to-day national reference information.

Suggested interpretation

Use PNGNWS products as the official national forecast context, and use the dashboard as a screening and prioritisation layer for provincial follow-up.

Where both the PNGNWS outlook and the dashboard indicators point in the same direction, confidence in follow-up targeting is stronger. Where they differ, additional technical review and field verification may be needed.

Separate FAO geospatial platform

EarthMap

Purpose of this tab: EarthMap is a separate FAO geospatial platform for exploring contextual layers such as rainfall, vegetation condition, land cover, fire, surface water and other indicators relevant to drought and agricultural risk screening.

Embedded source: png.earthmap.org. If the embedded view is restricted by the external site, open EarthMap directly using the button above.