UNIVERSITY OF BOTSWANA · DEPARTMENT OF PHYSICS

Research in Applied Meteorology Physics Laboratory

Computational, Instrumentation and Applications Research

RAMP Lab develops the climate datasets, statistical methods, and software tools that underpin drought monitoring, food security early warning, and climate services across Southern Africa - and is helping build the 3D-PAWS instrumentation capability to deepen Botswana's own observation network.

Computational climate science, rooted at the University of Botswana

Department of Physics

Faculty of Natural and Applied Sciences

School of Physical and Life Sciences

University of Botswana

RAMP Lab is a computational research group within the UB Department of Physics. Our research is built around climate datasets, statistical analysis, and software tools - and we collaborate widely across SADC and internationally. Across all of this work, our overarching aim is to connect climate science to policy and planning, using climate knowledge to directly support development outcomes in Botswana and the region.

We are also developing hands-on instrumentation capabilities: a 3D-printer and 3D-PAWS (3D-Printed Automatic Weather Station) facility will allow the lab to fabricate low-cost weather stations, support BDMS in operational deployments, and give meteorology students at UB direct experience building the instruments they will eventually rely on.

What we study, and why it matters.

Climate Variability

Understanding how rainfall varies in space and time across Southern Africa - from seasonal totals to onset, cessation, and intra-seasonal breaks.

Food Security Early Warning

Operational tools and methods for detecting, monitoring, and communicating food security stress before it becomes crisis.

Drought Monitoring

Multi-indicator approaches to detecting, classifying, and communicating drought conditions across Botswana and Southern Africa.

Climate Services & Products

Translating climate science into decision-relevant information for farmers, governments, and humanitarian actors.

Remote Sensing & Gridded Data

Satellite-derived rainfall, vegetation, and land surface datasets - validated, blended, and made operationally useful for Southern Africa.

in collaboration with BDMS

3D-PAWS Weather Station Network

Low-cost, 3D-printed automatic weather stations for expanding Botswana's surface observation network and training the next generation of meteorologists.

in collaboration with UCAR & BDMS

Operational platforms, research products, and methods we publish.

Live

Botswana Seasonal Rainfall Monitoring Portal

Operational seasonal rainfall monitoring platform for Botswana. Automatically updated rainfall maps and time-series derived from blended CHIRPS satellite data and surface station observations.

  • Rainfall totals and percentage of average
  • Standardized Precipitation Index (SPI)
  • Rainfall anomaly (mm) and percentile rank
  • Multiple accumulation periods (dekadal, monthly, seasonal)
  • Country and district-level maps
  • Dynamic time-series charts
  • Operationally updated
Open Botswana Seasonal Rainfall Monitoring Portal ↗
Coming soon

ENSO Explorer

Interactive tool for exploring how rainfall and climate across Southern Africa respond to different ENSO phases - El Niño, La Niña, and Neutral conditions.

Sign up for news to hear when this launches. Follow news →

GeoWRSI / GeoCLIM / GeoCOF

A suite of operational food security and climate monitoring tools used by the SADC Climate Services Centre and FEWS NET country offices across Southern Africa.

Learn more →

Also from the lab

CHIRPS Python pipeline Combined Drought Index SEAS5 processing SPI/SPEI calculator AtmosViz agrometeorology.info ClimAppTech 3D-PAWS station infrastructure