Climate change is a threat to agriculture but also presents opportunities and requires adaptation strategies. In many countries adequate meteorological data is lacking, so this is where NASA weather data are of assistance. We aimed to develop a generic and easily applicable approach to calculate the effect of climate change on potato yields and water need. We therefore used the NASA-Langley-Gaisma weather database which has data of thousands of sites worldwide. Comparing these with national data of a particular country, Turkey in this case showed that they compare well but diverge somewhat at the lower temperature range. The evapotranspiration (ETP) rate was not supplied by NASA, so we estimated this rate by multiplying the average daily radiation in MJ/m² by 5. There was a good correlation with actual ETP, and where there is a systematic deviation, it will not change conclusions when comparing sites and climate change scenarios. Next, it was assumed that potato crops are planted in spring when the average daily temperature is above 13 °C. When the average daily temperature reaches 22 °C and above, it is assumed that the crop is harvested as it gets too hot. For the highland sites with summer crops, this gave planting and harvest dates that reflect reality, but for the coastal sites, the time window with this method was too short. Since there is no risk of frost, farmers plant at lower temperatures, in local niches not covered by the regional met stations. The effect of climate change, higher temperatures, shifting planting dates and a CO₂ induced increased growth rate on yield and water need of the crops was well explored with the LINTUL crop growth model. At unchanged rates of incident solar radiation and unchanged planting dates, an average decrease in potential yield from 94 to 83 t/ha is calculated. Extention of summer by 20 days on average causes decrease in the frost-free period, which leads to an overall increase of potential yield of the highland summer crops by 3%. The length of the growing season of the coastal spring crops is not extended; the season just moves closer to the winter with shorter day lengths and less radiation. So here yields are not affected by adverse high temperatures but are reduced by lower radiation levels. For both highland summer and coastal spring crops, an increase in the CO₂ concentration of the atmosphere from the current 415 to future level of around 550 ppm is expected to increase the radiation use efficiency, so also yields by 25%.

气候变化对农业构成威胁，但也带来机遇，需要采取适应战略。在许多国家中，缺少足够的气象数据，因此这是NASA气象数据所提供的帮助。我们旨在开发一种通用且易于应用的方法来计算气候变化对马铃薯产量和需水量的影响。因此，我们使用了NASA-Langley-Gaisma气象数据库，该数据库具有全球数千个站点的数据。将这些数据与特定国家/地区的国家数据进行比较，在这种情况下，土耳其显示它们比较好，但在较低温度范围内存在一些差异。蒸散（ETP）速率不是由NASA提供的，因此我们通过将平均每日辐射乘以MJ / m ^2来估算该速率。乘以5.与实际的ETP有很好的相关性，并且在存在系统偏差的情况下，比较站点和气候变化情景时不会改变结论。接下来，假设当日平均温度高于13°C时在春季播种马铃薯。当日平均温度达到22°C或更高时，可以认为由于太热而收割了农作物。对于有夏季作物的高原地区，这可以反映出现实的播种和收获日期，但对于沿海地区，使用这种方法的时间窗口太短。由于没有霜冻的风险，农民可以在较低温度下在区域气象站未覆盖的本地利基处种植。气候变化，高温，播种日期变化和CO _2的影响用LINTUL作物生长模型很好地研究了诱导的作物生长速度和产量的增长以及对水的需求。在入射太阳辐射速率不变和播种日期不变的情况下，计算得出的潜在单产从94吨/公顷平均减少到83吨/公顷。夏季平均延长20天会导致无霜期减少，从而导致高地夏季作物的潜在单产总体增加3％。沿海春季作物的生长期没有延长；该季节正接近冬季，因此日长较短且辐射较少。因此，这里的产量不受不利的高温影响，但由于辐射水平较低而降低。对于高原夏季和沿海春季作物，CO _2均增加 从目前的415到未来的约550 ppm的大气浓度预计将提高辐射利用效率，因此收率也将提高25％。