Project Deliverables (Updated periodically)

D1.1 Report on past climate adaptation policy efficacy (Task 1.2)
D1.2 Social science report on community-based fieldwork (Task 1.1)
D1.3 ABM and data on feedbacks between climate-food security-land use (Task 1.3)
D1.4 Interdisciplinary report on ABM and outputs for HAD (Task 1.3)
D1.5 Report on national/regional historical climate adaptation policy (Task 1.3)

D2.1 Report on historical trends in climate/water (Task 2.1)
D2.2 Report on socio-economic, demographic and population trends in HAD (Task 2.2)
D2.3 Report on links between land use change and climate (Task 2.2)
D2.4 Report on future climate scenarios in HAD (Task 2.3)

D3.1 CUWALID model for water and food insecurity in drylands (Task 3.1)
D3.2 Report on modeled HAD water/food derived from seasonal forecasts (Task 3.2)
D3.3 Report on trends in historical HAD water/food using CUWALID (Task 3.1)
D3.4 Report on long-term projections of water/food in HAD for climate services (Task 3.3)
D3.5 WajihaCast mobile phone app for water/food forecasts to end-users (Task 3.4)
D3.6 Report on WajihaCast app design, development, implementation (Task 3.4)

D4.1 Expanded climate/water data networks throughout HAD (Task 4.3)
D4.2 Increased capacity to produce media content on climate adaptation (Kenya) (Task 4.1)
D4.3 Regional extension workshops on WajihaCast and climate change (Task 4.2)
D4.4 Training workshops for ICPAC staff on CUWALID (Task 4.2)
D4.5 Report on machine-learning methods of forecasting (Task 4.3)
D4.6 Inclusion of CUWALID-based forecasts in GHACOF, IFRAH, and FEWS NET (Task 4.3)
D4.7 Technical workshops on CUWALID for stakeholders (Task 4.2)
D4.8 Report on future-proof climate adaptation/reslience policy framework (Task 4.4)
D4.9 Regional and international policy engagement workshops (Task 4.4)

D5.1 Data Management Plan (Task 5.1)

D6.1 Project website (Task 6.1)
D6.2 Project videos/pamphlets (Task 6.1)
D6.3 Communication and Dissemination Plan (Task 6.1)


Understanding Seasonal Forecasts in Africa: Q&A With Climate Scientists


Hydrological forecasting for Eastern Africa Side Event at GHACOF 60

Let’s talk about water: Interactive session on novel water forecasting for drylands at GHACOF 59

Presentation on DOWN2EARTH at GHACOF 57

Climate Change in East Africa Film Screening and Q&A for 1st-year Cardiff Univ students in EA1309

Academic Peer Review Publications Generated by DOWN2EARTH

Student and postdoc work denoted by *.

*Rigby, J.M., Yohannis, A., Preist, C., Singer, M.B., Waema, T., Wausi, A., Schien, D., Michaelides, K. (2022); Climate Services for the Greater Horn of Africa: Interviews Exploring Practitioner Perspectives from Kenya and Beyond, Climate and Development, doi:10.1080/17565529.2022.2074350. pdf.

*Koppa, A., Rains, D., Hulsman, P., Poyatos, R., & Miralles, D. G. (2022). A deep learning-based hybrid model of global terrestrial evaporation. Nature Communications, 13(1), 1912, doi:10.1038/s41467-022-29543-7. pdf

*Quichimbo, E.A., Singer, M.B., Michaelides, K., Hobley, D., Rosolem, R., Cuthbert, M.O. (2021). DRYP 1.0: A parsimonious hydrological model of DRYland Partitioning of the water balance, Geoscientific Model Development, doi:10.5194/gmd-2021-137. pdf

*MacLeod, D., Kniveton, D.R., Todd, M.C. (2021). Playing the long game: Anticipatory action based on seasonal forecasts, Climate Risk Management, 34, 100375, doi:10.1016/j.crm.2021.100375. pdf

Kolstad, E.W., *Macleod, D., Demissie, T.D. (2021). Drivers of subseasonal forecast errors of the East African short rains, Geophysical Research Letters, 48(14), p.e2021GL093292, doi:10.1029/2021GL093292. pdf

Hari, V., Dharmasthala, S., *Koppa, A., Karmakar, S., Kumar, R. (2021). Climate hazards are threatening vulnerable migrants in Indian megacities - Comment, Nature Climate Change, 11, 636–638, doi:10.1038/s41558-021-01105-7. pdf

*Koppa, A., Alam, S., Miralles, D.G., & Gebremichael, M. (2021). Budyko-based long-term water and energy balance closure in global watersheds from Earth observations. Water Resources Research, 57, e2020WR028658, doi:10.1029/2020WR028658. pdf

*Schrieks, T., Botzen, W.J.W., Wens, M., Haer, T., Aerts, J.C.J.H. (2021). Integrating behavioral theories in agent-based models for agricultural drought risk assessments, Frontiers in Water, 3, doi:10.3389/frwa.2021.686329. pdf

Singer, M.B., *Asfaw, D.T., Rosolem, R., Cuthbert, M.O., *Quichimbo, A., Miralles, D.G., MacLeod, D., Michaelides, K. (2021). Hourly potential evapotranspiration at 0.1˚ grid resolution for the global land surface from 1981-present, Scientific Data, 8(224), doi:10.1038/s41597-021-01003-9. pdf

New Datasets Generated by DOWN2EARTH

Hourly and daily potential evapotranspiration (hPET and dPET) datasets
A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation

New Models Generated by DOWN2EARTH

DRYP 1.0: A parsimonious hydrological model of DRYland Partitioning of the water balance
StressNet: Code Repository: A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation

Academic Non-Peer Review Publications

Non-Academic Reports

An EU Horizon 2020 Project funded under grant agreement No 869550