A summary report on the Historical Climate INAM Database Recovery (HCIDR) project. The problem Mozambique is extremely vulnerable to the effects of drought, storms and floods. The effects of these natural disasters are further compounded by global warming. To this effect, there is a need in the country to improve on its alert systems using climate information and dissemination of information for better climatic risk management and planning climate change adaptation in different sectors (agriculture, fisheries, health etc) as well as different geographical areas (arid & semi-arid, flood and/or cyclone prone areas, urban environments). The National Institute of Meteorology (INAM) has a stockpile of significant amount of historical data collected but stored in poorly retrievable archives. This is data that can be used to synthesize key information including historical sequences that are key to improving the projection of different climate scenarios as well as assessing the validity of downscaling from the global climatic models. All this information is key to climate-proofing national development projects in the country. The problem however was that this data was poorly archived in piles of paper. There was therefore a need to urgently rescue this data to specifically prevent them from being lost, putting them in user-friendly format for analysis, and to generally improve on the bottom line needs to manage climate change risks. The general objective The main aim of the HCIDR project was to recover historical data archived in piles of paper and in a poor condition here before. The CC-DARE contribution to the solution The project INAM HCIDR used a recovery process of digitilization of historical INAM climate data that had been archived in poor condition (in piles of paper), thereby making them accessible online. An important aspect of the HCIDR project was the analysis of the digitilized data in order to improve the available of information on climate trends in different regions of the country. Such information is a vital enabler of climate change adaptation initiatives in key sectors of the Mozambican economy such as agriculture, fisheries etc. To this effect and in line with its overall mission of improving climate change adaptation in sub-saharan Africa by providing financial and technical assistance to selected projects, INAM received a total of $ 44,104.84 (forty-four thousand one hundred and four U.S. dollars and eighty-four U.S. cents) from the CCDARE Programme to impement this project as pilot. The Big picture The CC-DARE intervention in Mozambique was successful in providing more climate data and information in understanding historical climate trends. The availability of this data will ensure that scientists and other users have access to climate information necessary for their studies and projects. Further, the rescued data combined with already available data will ensure relevant authorities in key sectors like agriculture, fisheries etc access better climatic projection data hence better equiped to mitigate climate change risks and losses caused by the now prevalent natural disasters, hence bolster economic development. In achieving the aforementioned, CCDARE contributed to the realization of the following direct outcomes of the project; 6 computers were purchased and are now available to continue with digitilization of data at INAM; 8 staff who were trained in the use of CLICOM are ready and will continue with the data digitilization under the African Adaptation Program funding; More data is now available to scientists and other users for their studies and projects. This rescued data combined with already available data will enable authorities to have access to better projections that can be used to mitigate against loss caused by natural disasters and will provide increased information for economic development. 10 INAM Meteorologist and 1 staff member from the Institute of Disaster Management were trained in the use of RClimedex and are now analysing the trends of climate extremes using the data made available by the project.