Reconstructing past temperatures from sparse coral records is challenging. We developed two adaptive methods to improve how model simulations are combined with proxy data. The first adjusts trust in each record based on model consistency; the second adapts how far each record influences the reconstruction. Our approach improved accuracy and better captured El Niño–Southern Oscillation patterns, especially in data‑poor regions. These strategies enable more reliable climate reconstructions